A Review of Lectures, labs, papers and Conferences about Reinforcement Learning

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Lectures

  1. Machine Learning Summer School, May 2016, Cadiz, John Schulman
  2. NIPS 2015 workshop
  3. ICLR 2016, Deep Robotic Learning, Sergey Levine
  4. ICLR 2015, part1, part2 ,UAI 2015, RLDM 2015,David Silver
  5. RSS 2016, RE•WORK Deep Learning Summit 2016 Pieter Abbeel
  6. Deep Learning Summer School, Montreal 2016 Pieter Abbeel
  7. 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

  • David Silver
  • Michael Littman
  • CS 287: Advanced Robotics, Fall 2015
  • CS 294: Deep Reinforcement Learning, Fall 2015
  • Robotics Specializations
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