Deep Q-Learning Network in pytorch (not actively maintained)

Last update: Jan 01, 2023

Overview

pytoch-dqn

This project is pytorch implementation of Human-level control through deep reinforcement learning and I also plan to implement the following ones:

Credit

This project reuses most of the code in https://github.com/berkeleydeeprlcourse/homework/tree/master/hw3

Requirements

python 3.5
gym (built from source)
pytorch (built from source)

Usage

To train a model:

$ python main.py

# To train the model using ram not raw images, helpful for testing

$ python ram.py

The model is defined in dqn_model.py

The algorithm is defined in dqn_learn.py

The running script and hyper-parameters are defined in main.py

Owner

Hung-Tu Chen

Graduate Student at Dartmouth PBS

GitHub Repository

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Deep Q-Learning Network in pytorch (not actively maintained)

Related tags

Overview

pytoch-dqn

Credit

Requirements

Usage

Owner

Hung-Tu Chen

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