SlideShare a Scribd company logo

Deep Reinforcement Learning

•
•
MeetupDataScienceRoma
MeetupDataScienceRoma

Simone Totaro (AI-Academy): Deep Reinforcement Learning Meetup Machine Learning Data Science Roma 5/7/2017

1 of 42
Download to read offline
DeepReinforcementLearning Agentileand(almost)mathfreeintroduction simone@ai-academy.com 1
Outline What, why and where it stands in ML? General framework Q-Learning Deep + ... Codeanddemo(hopefullyworking...) 2
3
Atari[Nature,2015] 4
AlphaGo[Nature,2016] 5
"RL tries to understand the optimal way to make decisions." David Silver - Research Scientist, Google DeepMind 6
Howdoesitwork? = ( , , , , . . . , , , , )Ht s1 a1 r1 s2 st at rt sT 7
Whyitisdi erentfromotherMLsettings? No supervisor Delayed feedback Time matters Data depends on the Agent policy 8
Whatcanwemodel? Environment & Agent 9
Universe
10
Environment import Gym env = Gym.make('SpaceInvaders-v0') s = env.step() # take an action terminal = False while not terminal: next_state, reward, terminal, _ = env.step(action) 11
s_1 -> s_2 -> s_3 12
Keyassumptions 1. The probability of the next state depends only on the current state 2. Each state contains all the relevant information 13
It'sMe,Mario! Mario wants to break bricks and free the princess! 14
Expectedfuturerewards Any goal can be represented as a sum of intermediate rewards. [ ∣ ] = [ + γ + + … ∣ ]∑ ∞ t=0 γ t Rt St R0 R1 γ 2 R2 St 15
Tools 1. Policy: 2. Value function: 3. Model: We have to pick at least 1 of the 3. π(a|s) Q(s, a) (P, R) 16
Policy A policy de nes how the agent behaves. It takes as input a state and output an action. It can be stochastic, or deterministic. 17
Valuefunction A value function estimates how much reward the agent can achieve. It takes as input a (state,action), and output values. One for each possible action. 18
Model A model is the Agent representation of the environment. Takes as input a state and output (next_state,reward). 19
Designchoice Balance learning and planning Explore new actions and exploit good ones Assign credits for correct actions 20
Quick-Q&A 21
Howtosolveit? The goal is to nd the optimalpolicy that maximize the futureexpected rewards. 22
Repeat 1. Prediction: Compute the value of the expected reward from until the terminal state. 2. Control: Act greedly with respect to the predicted values. st 23
Approximationofthevaluefunction Monte Carlo (used in Alpha Go) Temporal Di erence (used in Atari) 24
TemporalDi erence 25
Pavlovianconditioning 26
Updaterule In rabbits, humans and machines we get the same algorithm: while True: Q[t] = Q[t-1] + alpha * (Q_target - Q[t-1]) 27
Q-Learning[Watkins,1989] The agent does not have a model of the environment. Perform actions following a standard policy. Predict using the target policy. Which makes it an "o -policy", model-free method. 28
Lossfunction Building on what we learn from the rabbit. The learning goal is to minimize the following loss function: Putting all together we get... Q_target = r + gamma * np.argmax( Q(s, A)) Loss = 1/n * np.sum( (Q_target - Q(s,a))^2) 29
DeepQ-Learning Let's add Neural Networks and we are good to go right? 30
31
Notice... 1. Data are highly correlated 2. The target values are not robust 3. Wild rewards make the value function freaks out 32
Wewish... A stable Q_target, a robust Q and predictable rewards. But how? 33
DeepMindideas 1. Di erent neural networks for Q and Q_target 2. Estimate Q_target using past experiences 3. Update Q_target every C steps 4. Clip rewards between -1 and 1 34
Network Input: an image of shape [None, 42, 42, 4] 4 Conv2D 32 lters, 4x4 kernel 1 Hidden layer of size 256 1 Fully connected layer of size action_size 35
Hyperparams Learning rate: 0.001 Reward clip: (-1, 1) Gradient clip: 40 Optimizer: AdamOptimizer 36
37
Tools Challenges Demo OpenAI Tensor ow General AI Challenge Stanford 38
Resources: Papers RL - David Silver Introduction to RL Patacchiola Blog Human Level control Async Method for DRL 39
Q&A 40
ThankstoMachineLearning/DataScience Meetup simone@ai-academy.com 41

Recommended

Intro to Deep Reinforcement Learning
Intro to Deep Reinforcement LearningIntro to Deep Reinforcement Learning
Intro to Deep Reinforcement Learning
Khaled Saleh
 
An introduction to deep reinforcement learning
An introduction to deep reinforcement learningAn introduction to deep reinforcement learning
An introduction to deep reinforcement learning
Big Data Colombia
 
Deep Reinforcement Learning
Deep Reinforcement LearningDeep Reinforcement Learning
Deep Reinforcement Learning
Usman Qayyum
 
Reinforcement Learning
Reinforcement LearningReinforcement Learning
Reinforcement Learning
DongHyun Kwak
 
An introduction to reinforcement learning
An introduction to reinforcement learningAn introduction to reinforcement learning
An introduction to reinforcement learning
Jie-Han Chen
 
Deep reinforcement learning from scratch
Deep reinforcement learning from scratchDeep reinforcement learning from scratch
Deep reinforcement learning from scratch
Jie-Han Chen
 
Deep Reinforcement Learning and Its Applications
Deep Reinforcement Learning and Its ApplicationsDeep Reinforcement Learning and Its Applications
Deep Reinforcement Learning and Its Applications
Bill Liu
 
An introduction to reinforcement learning
An introduction to reinforcement learningAn introduction to reinforcement learning
An introduction to reinforcement learning
Subrat Panda, PhD
 

Recommended

Intro to Deep Reinforcement Learning
Intro to Deep Reinforcement LearningIntro to Deep Reinforcement Learning
Intro to Deep Reinforcement Learning
Khaled Saleh
 
An introduction to deep reinforcement learning
An introduction to deep reinforcement learningAn introduction to deep reinforcement learning
An introduction to deep reinforcement learning
Big Data Colombia
 
Deep Reinforcement Learning
Deep Reinforcement LearningDeep Reinforcement Learning
Deep Reinforcement Learning
Usman Qayyum
 
Reinforcement Learning
Reinforcement LearningReinforcement Learning
Reinforcement Learning
DongHyun Kwak
 
An introduction to reinforcement learning
An introduction to reinforcement learningAn introduction to reinforcement learning
An introduction to reinforcement learning
Jie-Han Chen
 
Deep reinforcement learning from scratch
Deep reinforcement learning from scratchDeep reinforcement learning from scratch
Deep reinforcement learning from scratch
Jie-Han Chen
 
Deep Reinforcement Learning and Its Applications
Deep Reinforcement Learning and Its ApplicationsDeep Reinforcement Learning and Its Applications
Deep Reinforcement Learning and Its Applications
Bill Liu
 
An introduction to reinforcement learning
An introduction to reinforcement learningAn introduction to reinforcement learning
An introduction to reinforcement learning
Subrat Panda, PhD
 
Reinforcement Learning : A Beginners Tutorial
Reinforcement Learning : A Beginners TutorialReinforcement Learning : A Beginners Tutorial
Reinforcement Learning : A Beginners Tutorial
Omar Enayet
 
Reinforcement Learning
Reinforcement LearningReinforcement Learning
Reinforcement Learning
Salem-Kabbani
 
Reinforcement Learning
Reinforcement LearningReinforcement Learning
Reinforcement LearningJungyeol
 
Deep Q-Learning
Deep Q-LearningDeep Q-Learning
Deep Q-Learning
Nikolay Pavlov
 
Reinforcement learning
Reinforcement learningReinforcement learning
Reinforcement learning
Shahan Ali Memon
 
Reinforcement Learning Tutorial | Edureka
Reinforcement Learning Tutorial | EdurekaReinforcement Learning Tutorial | Edureka
Reinforcement Learning Tutorial | Edureka
Edureka!
 
Reinforcement Learning
Reinforcement LearningReinforcement Learning
Reinforcement Learning
Muhammad Iqbal Tawakal
 
Multi-Armed Bandit and Applications
Multi-Armed Bandit and ApplicationsMulti-Armed Bandit and Applications
Multi-Armed Bandit and Applications
Sangwoo Mo
 
Actor critic algorithm
Actor critic algorithmActor critic algorithm
Actor critic algorithm
Jie-Han Chen
 
Multi-armed Bandits
Multi-armed BanditsMulti-armed Bandits
Multi-armed Bandits
Dongmin Lee
 
Policy gradient
Policy gradientPolicy gradient
Policy gradient
Jie-Han Chen
 
Reinforcement learning, Q-Learning
Reinforcement learning, Q-LearningReinforcement learning, Q-Learning
Reinforcement learning, Q-Learning
Kuppusamy P
 
Reinforcement learning
Reinforcement learningReinforcement learning
Reinforcement learning
Ding Li
 
Reinforcement Learning
Reinforcement LearningReinforcement Learning
Reinforcement Learningbutest
 
Rl chapter 1 introduction
Rl chapter 1 introductionRl chapter 1 introduction
Rl chapter 1 introduction
ConnorShorten2
 
Lecture 9 Markov decision process
Lecture 9 Markov decision processLecture 9 Markov decision process
Lecture 9 Markov decision process
VARUN KUMAR
 
An introduction to reinforcement learning (rl)
An introduction to reinforcement learning (rl)An introduction to reinforcement learning (rl)
An introduction to reinforcement learning (rl)
pauldix
 
Introduction of Deep Reinforcement Learning
Introduction of Deep Reinforcement LearningIntroduction of Deep Reinforcement Learning
Introduction of Deep Reinforcement Learning
NAVER Engineering
 
Deep Reinforcement Learning: Q-Learning
Deep Reinforcement Learning: Q-LearningDeep Reinforcement Learning: Q-Learning
Deep Reinforcement Learning: Q-Learning
Kai-Wen Zhao
 
Deep sarsa, Deep Q-learning, DQN
Deep sarsa, Deep Q-learning, DQNDeep sarsa, Deep Q-learning, DQN
Deep sarsa, Deep Q-learning, DQN
Euijin Jeong
 
TensorFlow and Deep Learning Tips and Tricks
TensorFlow and Deep Learning Tips and TricksTensorFlow and Deep Learning Tips and Tricks
TensorFlow and Deep Learning Tips and Tricks
Ben Ball
 
Reinfrocement Learning
Reinfrocement LearningReinfrocement Learning
Reinfrocement Learning
Natan Katz
 

More Related Content

What's hot

Reinforcement Learning : A Beginners Tutorial
Reinforcement Learning : A Beginners TutorialReinforcement Learning : A Beginners Tutorial
Reinforcement Learning : A Beginners Tutorial
Omar Enayet
 
Reinforcement Learning
Reinforcement LearningReinforcement Learning
Reinforcement Learning
Salem-Kabbani
 
Reinforcement Learning
Reinforcement LearningReinforcement Learning
Reinforcement LearningJungyeol
 
Deep Q-Learning
Deep Q-LearningDeep Q-Learning
Deep Q-Learning
Nikolay Pavlov
 
Reinforcement learning
Reinforcement learningReinforcement learning
Reinforcement learning
Shahan Ali Memon
 
Reinforcement Learning Tutorial | Edureka
Reinforcement Learning Tutorial | EdurekaReinforcement Learning Tutorial | Edureka
Reinforcement Learning Tutorial | Edureka
Edureka!
 
Reinforcement Learning
Reinforcement LearningReinforcement Learning
Reinforcement Learning
Muhammad Iqbal Tawakal
 
Multi-Armed Bandit and Applications
Multi-Armed Bandit and ApplicationsMulti-Armed Bandit and Applications
Multi-Armed Bandit and Applications
Sangwoo Mo
 
Actor critic algorithm
Actor critic algorithmActor critic algorithm
Actor critic algorithm
Jie-Han Chen
 
Multi-armed Bandits
Multi-armed BanditsMulti-armed Bandits
Multi-armed Bandits
Dongmin Lee
 
Policy gradient
Policy gradientPolicy gradient
Policy gradient
Jie-Han Chen
 
Reinforcement learning, Q-Learning
Reinforcement learning, Q-LearningReinforcement learning, Q-Learning
Reinforcement learning, Q-Learning
Kuppusamy P
 
Reinforcement learning
Reinforcement learningReinforcement learning
Reinforcement learning
Ding Li
 
Reinforcement Learning
Reinforcement LearningReinforcement Learning
Reinforcement Learningbutest
 
Rl chapter 1 introduction
Rl chapter 1 introductionRl chapter 1 introduction
Rl chapter 1 introduction
ConnorShorten2
 
Lecture 9 Markov decision process
Lecture 9 Markov decision processLecture 9 Markov decision process
Lecture 9 Markov decision process
VARUN KUMAR
 
An introduction to reinforcement learning (rl)
An introduction to reinforcement learning (rl)An introduction to reinforcement learning (rl)
An introduction to reinforcement learning (rl)
pauldix
 
Introduction of Deep Reinforcement Learning
Introduction of Deep Reinforcement LearningIntroduction of Deep Reinforcement Learning
Introduction of Deep Reinforcement Learning
NAVER Engineering
 
Deep Reinforcement Learning: Q-Learning
Deep Reinforcement Learning: Q-LearningDeep Reinforcement Learning: Q-Learning
Deep Reinforcement Learning: Q-Learning
Kai-Wen Zhao
 
Deep sarsa, Deep Q-learning, DQN
Deep sarsa, Deep Q-learning, DQNDeep sarsa, Deep Q-learning, DQN
Deep sarsa, Deep Q-learning, DQN
Euijin Jeong
 

What's hot (20)

Reinforcement Learning : A Beginners Tutorial
Reinforcement Learning : A Beginners TutorialReinforcement Learning : A Beginners Tutorial
Reinforcement Learning : A Beginners Tutorial
 
Reinforcement Learning
Reinforcement LearningReinforcement Learning
Reinforcement Learning
 
Reinforcement Learning
Reinforcement LearningReinforcement Learning
Reinforcement Learning
 
Deep Q-Learning
Deep Q-LearningDeep Q-Learning
Deep Q-Learning
 
Reinforcement learning
Reinforcement learningReinforcement learning
Reinforcement learning
 
Reinforcement Learning Tutorial | Edureka
Reinforcement Learning Tutorial | EdurekaReinforcement Learning Tutorial | Edureka
Reinforcement Learning Tutorial | Edureka
 
Reinforcement Learning
Reinforcement LearningReinforcement Learning
Reinforcement Learning
 
Multi-Armed Bandit and Applications
Multi-Armed Bandit and ApplicationsMulti-Armed Bandit and Applications
Multi-Armed Bandit and Applications
 
Actor critic algorithm
Actor critic algorithmActor critic algorithm
Actor critic algorithm
 
Multi-armed Bandits
Multi-armed BanditsMulti-armed Bandits
Multi-armed Bandits
 
Policy gradient
Policy gradientPolicy gradient
Policy gradient
 
Reinforcement learning, Q-Learning
Reinforcement learning, Q-LearningReinforcement learning, Q-Learning
Reinforcement learning, Q-Learning
 
Reinforcement learning
Reinforcement learningReinforcement learning
Reinforcement learning
 
Reinforcement Learning
Reinforcement LearningReinforcement Learning
Reinforcement Learning
 
Rl chapter 1 introduction
Rl chapter 1 introductionRl chapter 1 introduction
Rl chapter 1 introduction
 
Lecture 9 Markov decision process
Lecture 9 Markov decision processLecture 9 Markov decision process
Lecture 9 Markov decision process
 
An introduction to reinforcement learning (rl)
An introduction to reinforcement learning (rl)An introduction to reinforcement learning (rl)
An introduction to reinforcement learning (rl)
 
Introduction of Deep Reinforcement Learning
Introduction of Deep Reinforcement LearningIntroduction of Deep Reinforcement Learning
Introduction of Deep Reinforcement Learning
 
Deep Reinforcement Learning: Q-Learning
Deep Reinforcement Learning: Q-LearningDeep Reinforcement Learning: Q-Learning
Deep Reinforcement Learning: Q-Learning
 
Deep sarsa, Deep Q-learning, DQN
Deep sarsa, Deep Q-learning, DQNDeep sarsa, Deep Q-learning, DQN
Deep sarsa, Deep Q-learning, DQN
 

Similar to Deep Reinforcement Learning

TensorFlow and Deep Learning Tips and Tricks
TensorFlow and Deep Learning Tips and TricksTensorFlow and Deep Learning Tips and Tricks
TensorFlow and Deep Learning Tips and Tricks
Ben Ball
 
Reinfrocement Learning
Reinfrocement LearningReinfrocement Learning
Reinfrocement Learning
Natan Katz
 
Demystifying deep reinforement learning
Demystifying deep reinforement learningDemystifying deep reinforement learning
Demystifying deep reinforement learning
재연 윤
 
GDRR Opening Workshop - Deep Reinforcement Learning for Asset Based Modeling ...
GDRR Opening Workshop - Deep Reinforcement Learning for Asset Based Modeling ...GDRR Opening Workshop - Deep Reinforcement Learning for Asset Based Modeling ...
GDRR Opening Workshop - Deep Reinforcement Learning for Asset Based Modeling ...
The Statistical and Applied Mathematical Sciences Institute
 
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement LearningPlaying Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Willy Marroquin (WillyDevNET)
 
Deep RL.pdf
Deep RL.pdfDeep RL.pdf
Deep RL.pdf
MohammadHosseinModir
 
NUS-ISS Learning Day 2019-Introduction to reinforcement learning
NUS-ISS Learning Day 2019-Introduction to reinforcement learningNUS-ISS Learning Day 2019-Introduction to reinforcement learning
NUS-ISS Learning Day 2019-Introduction to reinforcement learning
NUS-ISS
 
Reinforcement Learning - DQN
Reinforcement Learning - DQNReinforcement Learning - DQN
Reinforcement Learning - DQN
Mohammaderfan Arefimoghaddam
 
Designing an AI that gains experience for absolute beginners
Designing an AI that gains experience for absolute beginnersDesigning an AI that gains experience for absolute beginners
Designing an AI that gains experience for absolute beginners
Tanzim Saqib
 
Introduction to Deep Reinforcement Learning
Introduction to Deep Reinforcement LearningIntroduction to Deep Reinforcement Learning
Introduction to Deep Reinforcement Learning
IDEAS - Int'l Data Engineering and Science Association
 
Matineh Shaker, Artificial Intelligence Scientist, Bonsai at MLconf SF 2017
Matineh Shaker, Artificial Intelligence Scientist, Bonsai at MLconf SF 2017Matineh Shaker, Artificial Intelligence Scientist, Bonsai at MLconf SF 2017
Matineh Shaker, Artificial Intelligence Scientist, Bonsai at MLconf SF 2017
MLconf
 
Reinforcement learning Research experiments OpenAI
Reinforcement learning Research experiments OpenAIReinforcement learning Research experiments OpenAI
Reinforcement learning Research experiments OpenAI
Raouf KESKES
 
Discrete sequential prediction of continuous actions for deep RL
Discrete sequential prediction of continuous actions for deep RLDiscrete sequential prediction of continuous actions for deep RL
Discrete sequential prediction of continuous actions for deep RL
Jie-Han Chen
 
PPT - Discovering Reinforcement Learning Algorithms
PPT - Discovering Reinforcement Learning AlgorithmsPPT - Discovering Reinforcement Learning Algorithms
PPT - Discovering Reinforcement Learning Algorithms
Jisang Yoon
 
Reinforcement learning
Reinforcement learningReinforcement learning
Reinforcement learning
DongHyun Kwak
 
Multi objective optimization and Benchmark functions result
Multi objective optimization and Benchmark functions resultMulti objective optimization and Benchmark functions result
Multi objective optimization and Benchmark functions result
Piyush Agarwal
 
PPT - Deep Hedging OF Derivatives Using Reinforcement Learning
PPT - Deep Hedging OF Derivatives Using Reinforcement LearningPPT - Deep Hedging OF Derivatives Using Reinforcement Learning
PPT - Deep Hedging OF Derivatives Using Reinforcement Learning
Jisang Yoon
 
Financial Trading as a Game: A Deep Reinforcement Learning Approach
Financial Trading as a Game: A Deep Reinforcement Learning ApproachFinancial Trading as a Game: A Deep Reinforcement Learning Approach
Financial Trading as a Game: A Deep Reinforcement Learning Approach
謙益 黃
 
A Brief Survey of Reinforcement Learning
A Brief Survey of Reinforcement LearningA Brief Survey of Reinforcement Learning
A Brief Survey of Reinforcement Learning
Giancarlo Frison
 
Jay Yagnik at AI Frontiers : A History Lesson on AI
Jay Yagnik at AI Frontiers : A History Lesson on AIJay Yagnik at AI Frontiers : A History Lesson on AI
Jay Yagnik at AI Frontiers : A History Lesson on AI
AI Frontiers
 

Similar to Deep Reinforcement Learning (20)

TensorFlow and Deep Learning Tips and Tricks
TensorFlow and Deep Learning Tips and TricksTensorFlow and Deep Learning Tips and Tricks
TensorFlow and Deep Learning Tips and Tricks
 
Reinfrocement Learning
Reinfrocement LearningReinfrocement Learning
Reinfrocement Learning
 
Demystifying deep reinforement learning
Demystifying deep reinforement learningDemystifying deep reinforement learning
Demystifying deep reinforement learning
 
GDRR Opening Workshop - Deep Reinforcement Learning for Asset Based Modeling ...
GDRR Opening Workshop - Deep Reinforcement Learning for Asset Based Modeling ...GDRR Opening Workshop - Deep Reinforcement Learning for Asset Based Modeling ...
GDRR Opening Workshop - Deep Reinforcement Learning for Asset Based Modeling ...
 
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement LearningPlaying Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
 
Deep RL.pdf
Deep RL.pdfDeep RL.pdf
Deep RL.pdf
 
NUS-ISS Learning Day 2019-Introduction to reinforcement learning
NUS-ISS Learning Day 2019-Introduction to reinforcement learningNUS-ISS Learning Day 2019-Introduction to reinforcement learning
NUS-ISS Learning Day 2019-Introduction to reinforcement learning
 
Reinforcement Learning - DQN
Reinforcement Learning - DQNReinforcement Learning - DQN
Reinforcement Learning - DQN
 
Designing an AI that gains experience for absolute beginners
Designing an AI that gains experience for absolute beginnersDesigning an AI that gains experience for absolute beginners
Designing an AI that gains experience for absolute beginners
 
Introduction to Deep Reinforcement Learning
Introduction to Deep Reinforcement LearningIntroduction to Deep Reinforcement Learning
Introduction to Deep Reinforcement Learning
 
Matineh Shaker, Artificial Intelligence Scientist, Bonsai at MLconf SF 2017
Matineh Shaker, Artificial Intelligence Scientist, Bonsai at MLconf SF 2017Matineh Shaker, Artificial Intelligence Scientist, Bonsai at MLconf SF 2017
Matineh Shaker, Artificial Intelligence Scientist, Bonsai at MLconf SF 2017
 
Reinforcement learning Research experiments OpenAI
Reinforcement learning Research experiments OpenAIReinforcement learning Research experiments OpenAI
Reinforcement learning Research experiments OpenAI
 
Discrete sequential prediction of continuous actions for deep RL
Discrete sequential prediction of continuous actions for deep RLDiscrete sequential prediction of continuous actions for deep RL
Discrete sequential prediction of continuous actions for deep RL
 
PPT - Discovering Reinforcement Learning Algorithms
PPT - Discovering Reinforcement Learning AlgorithmsPPT - Discovering Reinforcement Learning Algorithms
PPT - Discovering Reinforcement Learning Algorithms
 
Reinforcement learning
Reinforcement learningReinforcement learning
Reinforcement learning
 
Multi objective optimization and Benchmark functions result
Multi objective optimization and Benchmark functions resultMulti objective optimization and Benchmark functions result
Multi objective optimization and Benchmark functions result
 
PPT - Deep Hedging OF Derivatives Using Reinforcement Learning
PPT - Deep Hedging OF Derivatives Using Reinforcement LearningPPT - Deep Hedging OF Derivatives Using Reinforcement Learning
PPT - Deep Hedging OF Derivatives Using Reinforcement Learning
 
Financial Trading as a Game: A Deep Reinforcement Learning Approach
Financial Trading as a Game: A Deep Reinforcement Learning ApproachFinancial Trading as a Game: A Deep Reinforcement Learning Approach
Financial Trading as a Game: A Deep Reinforcement Learning Approach
 
A Brief Survey of Reinforcement Learning
A Brief Survey of Reinforcement LearningA Brief Survey of Reinforcement Learning
A Brief Survey of Reinforcement Learning
 
Jay Yagnik at AI Frontiers : A History Lesson on AI
Jay Yagnik at AI Frontiers : A History Lesson on AIJay Yagnik at AI Frontiers : A History Lesson on AI
Jay Yagnik at AI Frontiers : A History Lesson on AI
 

More from MeetupDataScienceRoma

Serve Davvero il Machine Learning nelle PMI? | Niccolò Annino
Serve Davvero il Machine Learning nelle PMI? | Niccolò AnninoServe Davvero il Machine Learning nelle PMI? | Niccolò Annino
Serve Davvero il Machine Learning nelle PMI? | Niccolò Annino
MeetupDataScienceRoma
 
Meta-learning through the lenses of Statistical Learning Theory (Carlo Cilibe...
Meta-learning through the lenses of Statistical Learning Theory (Carlo Cilibe...Meta-learning through the lenses of Statistical Learning Theory (Carlo Cilibe...
Meta-learning through the lenses of Statistical Learning Theory (Carlo Cilibe...
MeetupDataScienceRoma
 
Claudio Gallicchio - Deep Reservoir Computing for Structured Data
Claudio Gallicchio - Deep Reservoir Computing for Structured DataClaudio Gallicchio - Deep Reservoir Computing for Structured Data
Claudio Gallicchio - Deep Reservoir Computing for Structured Data
MeetupDataScienceRoma
 
Docker for Deep Learning (Andrea Panizza)
Docker for Deep Learning (Andrea Panizza)Docker for Deep Learning (Andrea Panizza)
Docker for Deep Learning (Andrea Panizza)
MeetupDataScienceRoma
 
Machine Learning for Epidemiological Models (Enrico Meloni)
Machine Learning for Epidemiological Models (Enrico Meloni)Machine Learning for Epidemiological Models (Enrico Meloni)
Machine Learning for Epidemiological Models (Enrico Meloni)
MeetupDataScienceRoma
 
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
MeetupDataScienceRoma
 
Web Meetup #2: Modelli matematici per l'epidemiologia
Web Meetup #2: Modelli matematici per l'epidemiologiaWeb Meetup #2: Modelli matematici per l'epidemiologia
Web Meetup #2: Modelli matematici per l'epidemiologia
MeetupDataScienceRoma
 
Deep red - The environmental impact of deep learning (Paolo Caressa)
Deep red - The environmental impact of deep learning (Paolo Caressa)Deep red - The environmental impact of deep learning (Paolo Caressa)
Deep red - The environmental impact of deep learning (Paolo Caressa)
MeetupDataScienceRoma
 
[Sponsored] C3.ai description
[Sponsored] C3.ai description[Sponsored] C3.ai description
[Sponsored] C3.ai description
MeetupDataScienceRoma
 
Paolo Galeone - Dissecting tf.function to discover auto graph strengths and s...
Paolo Galeone - Dissecting tf.function to discover auto graph strengths and s...Paolo Galeone - Dissecting tf.function to discover auto graph strengths and s...
Paolo Galeone - Dissecting tf.function to discover auto graph strengths and s...
MeetupDataScienceRoma
 
Multimodal AI Approach to Provide Assistive Services (Francesco Puja)
Multimodal AI Approach to Provide Assistive Services (Francesco Puja)Multimodal AI Approach to Provide Assistive Services (Francesco Puja)
Multimodal AI Approach to Provide Assistive Services (Francesco Puja)
MeetupDataScienceRoma
 
Introduzione - Meetup MLOps & Assistive AI
Introduzione - Meetup MLOps & Assistive AIIntroduzione - Meetup MLOps & Assistive AI
Introduzione - Meetup MLOps & Assistive AI
MeetupDataScienceRoma
 
Zero, One, Many - Machine Learning in Produzione (Luca Palmieri)
Zero, One, Many - Machine Learning in Produzione (Luca Palmieri)Zero, One, Many - Machine Learning in Produzione (Luca Palmieri)
Zero, One, Many - Machine Learning in Produzione (Luca Palmieri)
MeetupDataScienceRoma
 
Mario Incarnati - The power of data visualization
Mario Incarnati - The power of data visualizationMario Incarnati - The power of data visualization
Mario Incarnati - The power of data visualization
MeetupDataScienceRoma
 
Machine Learning in the AWS Cloud
Machine Learning in the AWS CloudMachine Learning in the AWS Cloud
Machine Learning in the AWS Cloud
MeetupDataScienceRoma
 
OLIVAW: reaching superhuman strength at Othello
OLIVAW: reaching superhuman strength at OthelloOLIVAW: reaching superhuman strength at Othello
OLIVAW: reaching superhuman strength at Othello
MeetupDataScienceRoma
 
[Giovanni Galloro] How to use machine learning on Google Cloud Platform
[Giovanni Galloro] How to use machine learning on Google Cloud Platform[Giovanni Galloro] How to use machine learning on Google Cloud Platform
[Giovanni Galloro] How to use machine learning on Google Cloud Platform
MeetupDataScienceRoma
 
Bring your neural networks to the browser with TF.js - Simone Scardapane
Bring your neural networks to the browser with TF.js - Simone ScardapaneBring your neural networks to the browser with TF.js - Simone Scardapane
Bring your neural networks to the browser with TF.js - Simone Scardapane
MeetupDataScienceRoma
 
Meetup Gennaio 2019 - Slide introduttiva
Meetup Gennaio 2019 - Slide introduttivaMeetup Gennaio 2019 - Slide introduttiva
Meetup Gennaio 2019 - Slide introduttiva
MeetupDataScienceRoma
 
Elena Gagliardoni - Neural Chatbot
Elena Gagliardoni - Neural ChatbotElena Gagliardoni - Neural Chatbot
Elena Gagliardoni - Neural Chatbot
MeetupDataScienceRoma
 

More from MeetupDataScienceRoma (20)

Serve Davvero il Machine Learning nelle PMI? | Niccolò Annino
Serve Davvero il Machine Learning nelle PMI? | Niccolò AnninoServe Davvero il Machine Learning nelle PMI? | Niccolò Annino
Serve Davvero il Machine Learning nelle PMI? | Niccolò Annino
 
Meta-learning through the lenses of Statistical Learning Theory (Carlo Cilibe...
Meta-learning through the lenses of Statistical Learning Theory (Carlo Cilibe...Meta-learning through the lenses of Statistical Learning Theory (Carlo Cilibe...
Meta-learning through the lenses of Statistical Learning Theory (Carlo Cilibe...
 
Claudio Gallicchio - Deep Reservoir Computing for Structured Data
Claudio Gallicchio - Deep Reservoir Computing for Structured DataClaudio Gallicchio - Deep Reservoir Computing for Structured Data
Claudio Gallicchio - Deep Reservoir Computing for Structured Data
 
Docker for Deep Learning (Andrea Panizza)
Docker for Deep Learning (Andrea Panizza)Docker for Deep Learning (Andrea Panizza)
Docker for Deep Learning (Andrea Panizza)
 
Machine Learning for Epidemiological Models (Enrico Meloni)
Machine Learning for Epidemiological Models (Enrico Meloni)Machine Learning for Epidemiological Models (Enrico Meloni)
Machine Learning for Epidemiological Models (Enrico Meloni)
 
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
 
Web Meetup #2: Modelli matematici per l'epidemiologia
Web Meetup #2: Modelli matematici per l'epidemiologiaWeb Meetup #2: Modelli matematici per l'epidemiologia
Web Meetup #2: Modelli matematici per l'epidemiologia
 
Deep red - The environmental impact of deep learning (Paolo Caressa)
Deep red - The environmental impact of deep learning (Paolo Caressa)Deep red - The environmental impact of deep learning (Paolo Caressa)
Deep red - The environmental impact of deep learning (Paolo Caressa)
 
[Sponsored] C3.ai description
[Sponsored] C3.ai description[Sponsored] C3.ai description
[Sponsored] C3.ai description
 
Paolo Galeone - Dissecting tf.function to discover auto graph strengths and s...
Paolo Galeone - Dissecting tf.function to discover auto graph strengths and s...Paolo Galeone - Dissecting tf.function to discover auto graph strengths and s...
Paolo Galeone - Dissecting tf.function to discover auto graph strengths and s...
 
Multimodal AI Approach to Provide Assistive Services (Francesco Puja)
Multimodal AI Approach to Provide Assistive Services (Francesco Puja)Multimodal AI Approach to Provide Assistive Services (Francesco Puja)
Multimodal AI Approach to Provide Assistive Services (Francesco Puja)
 
Introduzione - Meetup MLOps & Assistive AI
Introduzione - Meetup MLOps & Assistive AIIntroduzione - Meetup MLOps & Assistive AI
Introduzione - Meetup MLOps & Assistive AI
 
Zero, One, Many - Machine Learning in Produzione (Luca Palmieri)
Zero, One, Many - Machine Learning in Produzione (Luca Palmieri)Zero, One, Many - Machine Learning in Produzione (Luca Palmieri)
Zero, One, Many - Machine Learning in Produzione (Luca Palmieri)
 
Mario Incarnati - The power of data visualization
Mario Incarnati - The power of data visualizationMario Incarnati - The power of data visualization
Mario Incarnati - The power of data visualization
 
Machine Learning in the AWS Cloud
Machine Learning in the AWS CloudMachine Learning in the AWS Cloud
Machine Learning in the AWS Cloud
 
OLIVAW: reaching superhuman strength at Othello
OLIVAW: reaching superhuman strength at OthelloOLIVAW: reaching superhuman strength at Othello
OLIVAW: reaching superhuman strength at Othello
 
[Giovanni Galloro] How to use machine learning on Google Cloud Platform
[Giovanni Galloro] How to use machine learning on Google Cloud Platform[Giovanni Galloro] How to use machine learning on Google Cloud Platform
[Giovanni Galloro] How to use machine learning on Google Cloud Platform
 
Bring your neural networks to the browser with TF.js - Simone Scardapane
Bring your neural networks to the browser with TF.js - Simone ScardapaneBring your neural networks to the browser with TF.js - Simone Scardapane
Bring your neural networks to the browser with TF.js - Simone Scardapane
 
Meetup Gennaio 2019 - Slide introduttiva
Meetup Gennaio 2019 - Slide introduttivaMeetup Gennaio 2019 - Slide introduttiva
Meetup Gennaio 2019 - Slide introduttiva
 
Elena Gagliardoni - Neural Chatbot
Elena Gagliardoni - Neural ChatbotElena Gagliardoni - Neural Chatbot
Elena Gagliardoni - Neural Chatbot
 

Recently uploaded

【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】
【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】
【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】
NABLAS株式会社
 
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
yhkoc
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
axoqas
 
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
nscud
 
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptxData_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
AnirbanRoy608946
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
ahzuo
 
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单
ewymefz
 
The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...
jerlynmaetalle
 
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.
rwarrenll
 
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
dwreak4tg
 
一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单
enxupq
 
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
v3tuleee
 
Influence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business PlanInfluence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business Plan
jerlynmaetalle
 
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
u86oixdj
 
FP Growth Algorithm and its Applications
FP Growth Algorithm and its ApplicationsFP Growth Algorithm and its Applications
FP Growth Algorithm and its Applications
MaleehaSheikh2
 
一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单
ocavb
 
Machine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptxMachine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptx
balafet
 
一比一原版(BU毕业证)波士顿大学毕业证成绩单
一比一原版(BU毕业证)波士顿大学毕业证成绩单一比一原版(BU毕业证)波士顿大学毕业证成绩单
一比一原版(BU毕业证)波士顿大学毕业证成绩单
ewymefz
 
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
AbhimanyuSinha9
 
Adjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTESAdjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTES
Subhajit Sahu
 

Recently uploaded (20)

【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】
【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】
【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】
 
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
 
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
 
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptxData_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
 
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单
 
The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...
 
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.
 
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
 
一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单
 
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
 
Influence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business PlanInfluence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business Plan
 
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
 
FP Growth Algorithm and its Applications
FP Growth Algorithm and its ApplicationsFP Growth Algorithm and its Applications
FP Growth Algorithm and its Applications
 
一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单
 
Machine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptxMachine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptx
 
一比一原版(BU毕业证)波士顿大学毕业证成绩单
一比一原版(BU毕业证)波士顿大学毕业证成绩单一比一原版(BU毕业证)波士顿大学毕业证成绩单
一比一原版(BU毕业证)波士顿大学毕业证成绩单
 
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
 
Adjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTESAdjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTES
 

Deep Reinforcement Learning