multi-agent-reinforcement-learning
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AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek, Gemini and 300+ models
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Jul 12, 2025 - Rust
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
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May 28, 2025 - Python
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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Jul 11, 2025 - Python
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
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Sep 8, 2022 - Python
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
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May 27, 2024 - Python
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
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Nov 28, 2024 - Python
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
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Jul 12, 2025 - Python
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
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Apr 24, 2025 - Python
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
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Jul 8, 2025 - Python
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
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Jul 11, 2025 - Python
Unified Reinforcement Learning Framework
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Sep 6, 2024 - Python
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
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Jun 4, 2025 - Python
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.
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Jun 25, 2025 - Python
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
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Sep 15, 2024 - Python
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
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May 20, 2023 - Python
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
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Apr 1, 2019 - Python
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
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Apr 8, 2021 - Python
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
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May 30, 2024
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation net…
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Dec 26, 2023 - Python
DI-engine docs (Chinese and English)
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Mar 10, 2025 - Python
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