PyTorchRL

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