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Achievement: Public SponsorAchievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

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xihuai18/README.md

Hi Here!

I am now focusing on

  • Reinforcement Learning
  • Multi-agent System, especially
    • Efficiency of Cooperative Multi-agent Reinforcement Learning;
    • Zero-shot Generalization Ability in Cooperative Multi-agent Systems.
  • Language-based(Symbolic) Planning

Anurag's GitHub stats

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  1. apexrl/AORPO apexrl/AORPO Public

    Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.

    Python 19 2

  2. A2PO-ICLR2023 A2PO-ICLR2023 Public

    Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)

    Python 25 1

  3. sjtu-marl/ZSC-Eval sjtu-marl/ZSC-Eval Public

    This repository is the official implementation of ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination. Pre-trained Agent Zoo: https://huggingface.co/Leoxxxxh/ZSC-Ev…

    JavaScript 32 5

  4. Common-Cooperative-Multi-Agent-Environments Common-Cooperative-Multi-Agent-Environments Public

    Commonly-used Cooperative Multi-agent Environments Installation, Convenient Wrappers, and VectorEnv Implementation with PettingZoo (and Gymnasium) Compatibility.

    Python 4