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Reinforcement Learning Survey

My notes on (in my opinion) important reinforcement learning papers.

Typo corrections, additional points, paper suggestions etc are all very welcome. You can either make a pull request or email me at einet89[at]postech.ac.kr

Short Summaries

Presentation Slides

Date Contents
2016/10/11 DQN, DDQN, Prioritized Experience Replay, Dueling Network
2016/12/27 Value Iteration Networks, The Predictron
2017/05/29 Stochastic Computation Graphs
2017/07/12 Evolution Strategies
2017/08/09 Modular Multitask RL with Policy Sketches
2017/09/14 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
2017/10/17 Continuous Adaptation vie Meta-Learning in Nonstationary and Competitive Environments
2017/11/02 Parameter Space Noise for Exploration
2017/12/19 Meta Learning Shared Hierarchies