There are 0 repository under sample-efficient-rl topic.
[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.
A paper list of sample-efficient reinforcement learning
Implementation of our IJCAI 2022 paper "CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning".
Collection of codes pertaining to my research in model-free RL algorithms.
[NeurIPS 2023] CycAug implementation from paper 'Learning Better with Less: Effective Augmentation for Sample-Efficient Visual RL'.
PyTorch implementation (with up-to-date tooling) of the SAM / DAC algorithm