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Overview.
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Reinforcement Learning [slides] [lecture note] [Video (in Chinese)].
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Value-Based Learning [slides] [Video (in Chinese)].
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Policy-Based Learning [slides] [Video (in Chinese)].
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Actor-Critic Methods [slides] [Video (in Chinese)].
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AlphaGo [slides] [Video (in Chinese)].
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TD Learning.
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Sarsa [slides] [Video (in Chinese)].
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Q-learning [slides] [Video (in Chinese)].
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Multi-Step TD Target [slides] [Video (in Chinese)].
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Advanced Topics on Value-Based Learning.
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Experience Replay (ER) & Prioritized ER [slides] [Video (in Chinese)].
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Overestimation, Target Network, & Double DQN. [slides]
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Dueling Networks. [slides]
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Policy Gradient with Baseline.
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Advanced Topics on Policy-Based Learning.
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Trust-Region Policy Optimization (TRPO).
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Policy Network + RNNs.
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Dealing with Continuous Action Space.
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Multi-Agent Reinforcement Learning.
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Basics and Challenges [slides] [Video (in Chinese)].
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Centralized VS Decentralized [slides] [Video (in Chinese)].
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Imitation Learning.
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Inverse Reinforcement Learning.
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Generative Adversarial Imitation Learning (GAIL).
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zhangtjtongxue / drl Goto Github PK
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Deep Reinforcement Learning
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