A Review of Lectures, labs, papers and Conferences about Reinforcement Learning
司寇季
Lectures
- Machine Learning Summer School, May 2016, Cadiz, John Schulman
- NIPS 2015 workshop
- ICLR 2016, Deep Robotic Learning, Sergey Levine
- ICLR 2015, part1, part2 ,UAI 2015, RLDM 2015,David Silver
- RSS 2016, RE•WORK Deep Learning Summit 2016 Pieter Abbeel
- Deep Learning Summer School, Montreal 2016 Pieter Abbeel
- Deep Learning Summer School, Montreal 2016
Labs
| Labs | Character | Extra |
|---|---|---|
| Berkeley | Pieter Abbeel | OpenAI |
| John Schulman | ||
| Sergey Levine | Washington | |
| Deep Mind | David Silver | |
| Nando de Freitas | Oxford University | |
| Martin Riedmiller | ||
| Vlad Mnih | ||
| CMU | Lerrel Pinto | Robotics |
| Ruslan Salakhutdinov | Deep Generative Models | |
| Michgan | Satinder Singh | |
| Honglak Lee | ||
| Junhyuk Oh | ||
| Xiaoxiao Guo | ||
| Texas, Austin | Peter Stone | Robotics |
| TU Darmstadt | Jan Peters | Robotics |
| Brown | Littman | |
| OpenAI | Andrej Karpathy | |
| Osaro | ||
| Prefered Networks |
Papers
- GitHub - junhyukoh/deep-reinforcement-learning-papers: A list of recent papers regarding deep reinforcement learning
- GitHub - muupan/deep-reinforcement-learning-papers: A list of papers and resources dedicated to deep reinforcement learning
Conferences
- NIPS 2015 Deep Reinforcement Learning Workshop
- ICLR 2016
- ICLR 2015
- RSS 2016 Deep Learning for Robotics
- RE•WORK Deep Learning Summit 2016
Courses
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