Pytorch-Double-DQN

This is project is a PyTorch implementation of Human-level control through deep reinforcement learning along with the Double DQN improvement suggested in Deep Reinforcement Learning with Double Q-learning.

Requirements

• python 3.5
• pytorch
• pyyaml
• gym

Usage

python main.py [-h] --config PATH --save_dir PATH [--modelpath PATH]

The config file is a yaml file used to provide arguments include mode (train or eval). A sample config file has been provided here.

References

• https://github.com/transedward/pytorch-dqn
• https://github.com/berkeleydeeprlcourse/homework/tree/master/hw3