Ronchy2000/Multi-agent-RL

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

MinRL provides clean, minimal implementations of fundamental reinforcement learning algorithms in a customizable GridWorld environment. The project focuses on educational clarity and implementation simplicity while maintaining production-quality code standards.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Multi-UAV target round-up based on MADDPG

Multi-Agent Reinforcement Learning with JAX

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

Reinforcement Learning Playground - A place to tryout and test new algorithms

RL implementations