/DRL

Deep Reinforcement Learning

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Deep Reinforcement Learning

  1. Overview.

  2. TD Learning.

  3. Advanced Topics on Value-Based Learning.

  4. Policy Gradient with Baseline.

  5. Advanced Topics on Policy-Based Learning.

    • Trust-Region Policy Optimization (TRPO).

    • Policy Network + RNNs.

  6. Dealing with Continuous Action Space.

    • Discrete versus Continuous Control. [slides]

    • Deterministic Policy Gradient (DPG) for Continuous Control. [slides]

    • Stochastic Policy Gradient for Continuous Control. [slides]

  7. Multi-Agent Reinforcement Learning.

  8. Imitation Learning.

    • Inverse Reinforcement Learning.

    • Generative Adversarial Imitation Learning (GAIL).