CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Last update: Dec 12, 2022

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Overview

CURL Rainbow

Status: Archive (code is provided as-is, no updates expected)

This is an implementation of CURL: Contrastive Unsupervised Representations for Reinforcement Learning coupled with the Data Efficient Rainbow method for Atari games. The code by default uses the 100k timesteps benchmark and has not been tested for any other setting.

Run the following command (or bash run_curl.sh) with the game as an argument:

python3 main.py --game ms_pacman

To install all dependencies, run bash install.sh.

Owner

Aravind Srinivas

GitHub Repository

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CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Related tags

Overview

CURL Rainbow

Owner

Aravind Srinivas

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

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