Deep Reinforcement Learning implemented in pytorch.

This project trying to mimic the structure of rllab code and occasionally borrow code from rllab and inverse_rl

• Implemented Algorithms

  • Online

    • DDPG (Deep Deterministic Policy Gradient)
    • NAF (Normalized Advantage Function)
    • Soft Q-Learning (Deep Energy-Based Policy)

  • Batch

    • TRPO (Trust Region Policy Optimization)

  • Inverse Reinforcement Learning & Imitation Learning

    • Generative Adversarial Imitation Learning
    • Adversarial Inverse Reinforcement Learning