CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Related tags

Deep Learningcurl_rainbow
Overview

CURL Rainbow

MIT License

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
Aravind Srinivas
GitHub Repository
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