MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library

MARLlib Handbook

• Introduction
• Installation
• Framework
• Environments
• Quick Start

Navigate From RL To MARL

• Part 1. Single Agent (Deep) RL
  • Reinforcement Learning (RL)
  • Deep Reinforcement Learning (DRL)
  • Resources
• Part 2. Navigate From RL To MARL
  • MARL: On the shoulder of RL
  • Partially Observable Markov Decision Process (POMDP)
  • Centralized Training & Decentralized Execution (CTDE)
  • Diversity: Task Mode, Interacting Style, and Additional Infomation
  • The Future of MARL
• Part 3. A Collective Survey of MARL
  • Tasks: Arenas of MARL
  • Methodology of MARL: Task First or Algorithm First

Algorithm Documentation

• Joint Q Learning Family
  • Deep (Recurrent) Q Learning: A Recap
  • IQL: multi-agent version of D(R)QN.
  • VDN: mixing Q with value decomposition network
  • QMIX: mixing Q with monotonic factorization
  • Read List
• Deep Deterministic Policy Gradient Family
  • Deep Deterministic Policy Gradient: A Recap
  • IDDPG: multi-agent version of DDPG
  • MADDPG: DDPG agent with a centralized Q
  • FACMAC: mixing a bunch of DDPG agents
  • Read List
• Advanced Actor Critic Family
  • Advanced Actor-Critic: A Recap
  • IA2C: multi-agent version of A2C
  • MAA2C: A2C agent with a centralized critic
  • COMA: MAA2C with Counterfactual Multi-Agent Policy Gradients
  • VDA2C: mixing a bunch of A2C agents’ critics
  • Read List
• Trust Region Policy Optimization Family
  • Trust Region Policy Optimization: A Recap
  • ITRPO: multi-agent version of TRPO
  • MATRPO: TRPO agent with a centralized critic
  • HATRPO: Sequentially updating critic of MATRPO agents
  • Read List
• Proximal Policy Optimization Family
  • Proximal Policy Optimization: A Recap
  • IPPO: multi-agent version of PPO
  • MAPPO: PPO agent with a centralized critic
  • VDPPO: mixing a bunch of PPO agents’ critics
  • HAPPO: Sequentially updating critic of MAPPO agents
  • Read List

Resources

• Awesome Paper List
• Existing Benchmarks