A Summary of Introductory Resources for Deep Reinforcement Learning - 2016.8

• Deep Reinforcement Learning Guide:
  http://mp.weixin.qq.com/s?__biz=MzI1NTE4NTUwOQ==&mid=2650324914&idx=1&sn=0baaf404b3d8132243d08b55310de210&scene=2&srcid=062732p5u33RRNIKUeDSlvXwe&from=timeline0&isappinstall

• Explain in detail deep reinforcement learning and build a detailed guide to DQN (based on Neon framework):
  https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650716425&idx=1&sn=bf52c653b7cd054ce721ce5be928c623

• "Multiagent Cooperation and Competition with Deep Reinforcement Learning" Ardi Tampuu, Tambet Matiisen November 2015, is an extension of deepMind Q-learning
  http://arxiv.org/abs/1511.08779

• Guide to Deep Reinforcement Learning:
  https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650716246&idx=2&sn=2c328097a95839871c8c91c5c5af9de5

• 《Learning to Optimize》

  An application of reinforcement learning, adding some reward and punishment strategies to the process of learning optimization, using reinforcement learning to learn optimization methods, please refer to
  http://arxiv.org/abs/1606.01885
  Interpretation of the article:
  http://weibo. com/ttarticle/p/show?id=2309403985644224393104

• Deep Reinforcement Learning Deep Reinforcement Learning Resources
  https://zhuanlan.zhihu.com/p/20885568

• "Dueling Network Architectures for Deep Reinforcement Learning" Google DeepMind; University of Oxford; Nov 15, cited more than 10 times
  http://arxiv.org/abs/1511.06581

• Yoshua Bengio's latest paper: Actor-critic Algorithms for Sequence Prediction http://t.cn/RtV9tL6
  Original text: http://arxiv.org/abs/1607.07086
  Abstract proposes a method for training neural networks to use Learned actor-critic methods to generate sequences.

• In addition: 24 papers related to ICML16 reinforcement learning
  http://weibo.com/p/1001603975123651678749