# pytorch-rdpg

**Repository Path**: wangxiaopeng2/pytorch-rdpg

## Basic Information

- **Project Name**: pytorch-rdpg
- **Description**: No description available
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-11-12
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

======
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: 
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* 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>