Projects in Awesome Lists tagged with mappo

A curated list of projects in awesome lists tagged with mappo .

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https://github.com/marlbenchmark/on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

algorithms hanabi mappo mpes multi-agent ppo smac starcraftii

Last synced: 15 May 2025

https://github.com/agi-brain/xuance

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

a2c atari ddpg dqn google-research-football maddpg magent mappo mindspore mpe mujoco multi-agent-reinforcement-learning ppo pytorch qmix reinforcement-learning reinforcement-learning-library starcraft2 tensorflow2

Last synced: 27 May 2026

https://github.com/jianzhnie/deep-marl-toolkit

MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...

coma ia2c idqn ippo maddpg mappo mat qatten qmix qtran vdn

Last synced: 14 Oct 2025

https://github.com/hijkzzz/noisy-mappo

Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)

mappo multi-agent-reinforcement-learning smac sota

Last synced: 01 May 2025

https://github.com/jianzhnie/rltoolkit

RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

a2c actor-critic ddpg ddqn dqn maddpg mappo ppo qmix rl sac td3 trpo

Last synced: 03 Aug 2025

https://github.com/legalaspro/unity_multiagent_rl

Multi-agent reinforcement learning framework for Unity environments. Implements MAPPO, MASAC, MATD3, and MADDPG with comprehensive evaluation tools. Features sample-efficient training, competitive analysis, and pre-trained models achieving great performance in Tennis and Soccer environments.

ai collaborative-learning competitive-intelligence deep-learning machine-learning maddpg mappo marl masac matd3 multi-agent multi-agent-reinforcement-learning pytorch reinforcement-learning soccer tennis unity

Last synced: 14 May 2026

https://github.com/legalaspro/marl-ppo-suite

Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO and HAPPO with various techniques.

automation docker happo heterogeneous-agents mappo multiagent-learning multiagent-reinforcement-learning multiagents parallel-processing ppo pytorch reinforcement-learning-algorithms rnn-gru rnn-pytorch runpods smac smacv2 starcraft2 wandb

Last synced: 28 Jul 2025