This is the official implementation of Multi-Agent PPO (MAPPO).
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Updated
Jul 18, 2024 - Python
This is the official implementation of Multi-Agent PPO (MAPPO).
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Open-Source Library for Fully Cooperative Multi-LLM Reinforcement Learning
A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.
Multi-UAV Assisted Wireless Powered Mobile Edge Computing: A hybrid optimization approach of combining multi-agent RL techniques (including attention mechanisms) with collaborative and adaptive caching policies for supporting mobile edge computing through UAVs.
无人机动态覆盖控制;1. 实现了一个无人机点覆盖环境;2. 给出了无人机连通保持规则;3. 给出了基于MARL的控制算法
Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
Multi-agent Reinforcement Learning to train agents on obstacle avoidance
🎾 Multi-Agent Proximal Policy Optimization approach to a competitive reinforcement learning problem
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.
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.
Modern JAX/Flax recreation & expansion of OpenAI's Emergent Tool Use (hide-and-seek): MAPPO + CTDE, entity Transformer + GRU memory, ELO self-play, and a clean Three.js 3D viewer.
Engineer-To-Order (ETO) Graph Neural Scheduling (GNS) Project
Multi-crane lift scheduling via MAPPO (Multi-Agent PPO). PyTorch training engine + browser dashboard with Candidate-K action space, hard-mask safety constraints, and curriculum learning.
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