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This repository studies and implements multi-agent reinforcement learning algorithms.
强化学习中文教程(蘑菇书?),在线阅读地址:https://datawhalechina.github.io/easy-rl/
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stock Trading Bot using Deep Q-Learning