federated-reinforcement-learning

There are 6 repositories under federated-reinforcement-learning topic.

  • trials

    The-FinAI/trials

    Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.

    Language:Python1013425
  • flint-xf-fan/Byzantine-Federated-RL

    code for NeurIPS2021 paper on Federated Reinforcement Learning with Byzantine Resilience

    Language:Python794013
  • siomvas/awesome-federated-reinforcement-learning

    Publication catalog for research on Federated RL (FRL).

  • DesikRengarajan/FEDORA

    [FL-ICML 2023] Code for Federated Ensemble-Directed Offline Reinforcement Learning

    Language:Python20203
  • philip-jordan/decentralized-byzantine-RL

    Experiments code for AAMAS'24 paper on "Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence"

    Language:Python7101
  • yining043/Byzantine-Federeated-RL

    This repo implements our paper, "Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee", which has been accepted at NuerIPS 2021.

    Language:Python1001