Tags
deep reinforcement learning
reinforcement learning
self-driving vehicles
autonomous car
deep q-network
dqn
autonomous driving
deep learning
rl
user-centered-design
gamification
crowdsensing
air pollution
convolutional neural network
ros
sim2real
lidar
f1tenth
grid-like representations
vector-based navigation
grid cells
reward prediction error hypothesis
dopamine
temporal difference
psychology
neuroscience
machine learning
software personal agents
pmda
trauma resuscitation
cognitive service
cognition as a service
bdi agents
helthcare
aamas 2019
care 2019
aasg 2019
software 2.0 era
jason
aop
agent-oriented programming
se
software engineering
bdi
agents
emas
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Presentations
(6)Personal Information
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Tags
deep reinforcement learning
reinforcement learning
self-driving vehicles
autonomous car
deep q-network
dqn
autonomous driving
deep learning
rl
user-centered-design
gamification
crowdsensing
air pollution
convolutional neural network
ros
sim2real
lidar
f1tenth
grid-like representations
vector-based navigation
grid cells
reward prediction error hypothesis
dopamine
temporal difference
psychology
neuroscience
machine learning
software personal agents
pmda
trauma resuscitation
cognitive service
cognition as a service
bdi agents
helthcare
aamas 2019
care 2019
aasg 2019
software 2.0 era
jason
aop
agent-oriented programming
se
software engineering
bdi
agents
emas
See more