RL-DDPG

PyTorch implementation of DDPG, tested on OpenAI Gym environments.

Solves the 'LunarLanderContinuous-v2' environment task in a few hundred epsisodes:

WARNING github seems to have problems rendering .ipynb files (including my notebook), so use this link to view the main.ipynb: https://nbviewer.jupyter.org/github/sshish/RL-DDPG/blob/master/main.ipynb

Requirements

• Python 3
• PyTorch
• CUDA support (can be disabled by editing the few lines in the code that contain cuda)
• OpenAI Gym
• the hiddenlayer python module for dynamic plots

Usage

• run the notebook (main.ipynb)