lucidrains/contrastive-rl
Contrastive Reinforcement Learning
This is a framework for researchers and practitioners in machine learning who are exploring advanced reinforcement learning techniques. It allows you to experiment with a novel approach where reinforcement learning and self-supervised learning are combined. You provide raw observational data from an environment, and it helps develop more robust state representations for an agent.
Use this if you are a machine learning researcher or engineer working on the frontiers of reinforcement learning and representation learning and want to investigate how these two areas can be integrated.
Not ideal if you need a plug-and-play solution for a standard reinforcement learning problem without delving into novel representation learning architectures.
Stars
58
Forks
4
Language
Python
License
MIT
Category
Last pushed
Mar 25, 2026
Commits (30d)
0
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