#Multi-agent-reinforcement-learning
Showing 10 of 10 repositories tagged #multi-agent-reinforcement-learning, ranked by stars
AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek, Gemini and 300+ models
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
π¦ A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
Unified Reinforcement Learning Framework
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.
π List of Top-tier Conference Papers on Reinforcement Learning (RL)οΌincluding: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.