Fundamentals.

• Reinforcement Learning [slides] [lecture note] [Video (in Chinese)].

• Value-Based Learning [slides] [Video (in Chinese)].

• Policy-Based Learning [slides] [Video (in Chinese)].

• Actor-Critic Methods [slides] [Video (in Chinese)].

• AlphaGo [slides] [Video (in Chinese)].

Advanced Topics on Value-Based Learning.

• Experience Replay (ER) & Prioritized ER. [slides]

• Overestimation, Target Network, & Double DQN. [slides]

• TD Learning Recap & Multi-Step Return. [slides]

• Dueling Networks.

Advanced Topics on Policy-Based Learning.

• Advantage Actor-Critic (A2C).

• Trust-Region Policy Optimization (TRPO).

• Policy Network + RNNs.

Dealing with Continuous Action Space.

• Deterministic Policy Gradient (DPG) for Continuous Control.

• Stochastic Policy Gradient for Continuous Control.

Multi-Agent Reinforcement Learning.

• Basics and Challenges [slides] [Video (in Chinese)].

• Centralized VS Decentralized [slides] [Video (in Chinese)].

Imitation Learning.

• Inverse Reinforcement Learning.

• Generative Adversarial Imitation Learning (GAIL).