code for NeurIPS2021 paper on Federated Reinforcement Learning with Byzantine Resilience
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Updated
Sep 13, 2023 - Python
code for NeurIPS2021 paper on Federated Reinforcement Learning with Byzantine Resilience
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".
[NeurIPS 2023] CycAug implementation from paper 'Learning Better with Less: Effective Augmentation for Sample-Efficient Visual RL'.
Collection of codes pertaining to my research in model-free RL algorithms.
PyTorch implementation (with up-to-date tooling) of the SAM / DAC algorithm
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