Popular GitHub Repositories for Sample Efficient Rl

[NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Policy Gradient with Byzantine Resilience framework for improving sample efficiency of RL agents.

Implementation of our IJCAI 2022 paper "CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning".

PyTorch implementation (with up-to-date tooling) of the SAM / DAC algorithm