This slide introduces the model which is one of the deep Q network. Dueling Network is the successor model of DQN or DDQN. You can easily understand the architecture of Dueling Network.
This slide introduces the model which is one of the deep Q network. Dueling Network is the successor model of DQN or DDQN. You can easily understand the architecture of Dueling Network.
This document introduce the literature 'Connecting Generative Adversarial Networks and Actor-Critic Methods' written by D. Pfau, O. Vinyals. This is used in the event named 'The meeting where we discuss DRL model or else'.
This document introduces the deep reinforcement learning model 'A3C' by Japanese.
Original literature is "Asynchronous Methods for Deep Reinforcement Learning" written by V. Mnih, et. al.
This document introduce the literature 'Deep Compression' written by S. Han, et al. You can easily understand that literature by reading this. Only Japanese.
This document introduce the literature 'Connecting Generative Adversarial Networks and Actor-Critic Methods' written by D. Pfau, O. Vinyals. This is used in the event named 'The meeting where we discuss DRL model or else'.
This document introduces the deep reinforcement learning model 'A3C' by Japanese.
Original literature is "Asynchronous Methods for Deep Reinforcement Learning" written by V. Mnih, et. al.
This document introduce the literature 'Deep Compression' written by S. Han, et al. You can easily understand that literature by reading this. Only Japanese.
2. 今回取り上げるのはこれ
[1]J. Oh, V. Chockalingam, S. Singh, H. Lee. “Control of
Memory, Active Perception, and Action in Minecraft” arXiv:
1605.09128, 2016.
DQNに記憶装置をとりつけることで、Minecraftでの得点で
従来手法を上回った!
3. 通常のDQN部分は・・・
通常のDQN部分の全体像は塚原裕史氏「論文紹介 Playing Atari with
Deep Reinforcement Learning」[2]
http://www.slideshare.net/htsukahara/paper-intoduction-playing-atari-
with-deep-reinforcement-learning
や藤田康博氏「Playing Atari with Deep Reinforcement Learning」[3]
http://www.slideshare.net/mooopan/ss-30336609
もしくは私の「ディープラーニングの最新動向 強化学習とのコラボ編①
DQN」[4]
http://www.slideshare.net/ssuser07aa33/introduction-to-deep-q-learning
などを参照してください