fshamshirdar / Pytorch Rdpg
PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
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====== 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
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