====== Recurrent Deterministic Policy Gradient (RDPG)

Overview

PyTorch <https://github.com/pytorch/pytorch>_ implementation of Recurrent Deterministic Policy Gradient from the paper Memory-based control with recurrent neural networks <https://arxiv.org/abs/1512.04455>_

Requirements .. code-block:: console

$ python -m pip install --upgrade pip
$ pip install -r requirements.txt

Run

• Training:

  • Pendulum-v0

  .. code-block:: console

  $ python main.py --env Pendulum-v0 --max_episode_length 1000 --trajectory_length 10 --debug
  

• Testing (TODO)

References:

• Memory-based control with recurrent neural networks https://arxiv.org/abs/1512.04455
• Continuous control with deep reinforcement learning https://arxiv.org/abs/1509.02971
• DDPG implementation using PyTorch https://github.com/ghliu/pytorch-ddpg
• PyTorch-RL https://github.com/jingweiz/pytorch-rl