An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
翻译 - 用于多主体强化学习的体育馆
#计算机科学#A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
#自然语言处理#ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcemen...
翻译 - Foundation是一个灵活,模块化且可组合的框架,用于与代理商和政府一起对社会经济行为和动态进行建模。该框架可与AI学习者(https://www.einstein.ai/the-ai-economist)所做的强化学习一起使用,以学习最佳的经济政策。
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
翻译 - 多智能体强化学习组件和系统库
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
#大语言模型#Unified Reinforcement Learning Framework
#计算机科学#Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
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 ...
#计算机科学#A collection of MARL benchmarks based on TorchRL
#计算机科学#Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
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:
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
#计算机科学#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...
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.