Ronchy2000/Multi-agent-RL
Multi-agent reinforcement learning implementation repository with MADDPG, MATD3, and HAPPO algorithms for cooperative agent scenarios.
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This repository contains implementations of multi-agent reinforcement learning algorithms for cooperative scenarios. It includes MADDPG, MATD3, and HAPPO algorithms applied to predator-prey pursuit games using the PettingZoo MPE environment. The project also covers basic RL algorithms from DQN to DDPG, serving as a learning path from fundamental to advanced multi-agent RL techniques.
Frequently asked
- What is Ronchy2000/Multi-agent-RL?
- Multi-agent reinforcement learning implementation repository with MADDPG, MATD3, and HAPPO algorithms for cooperative agent scenarios.
- Is Multi-agent-RL open source?
- Yes — Ronchy2000/Multi-agent-RL is open source, released under the MIT license.
- What language is Multi-agent-RL written in?
- Ronchy2000/Multi-agent-RL is primarily written in Jupyter Notebook.
- How popular is Multi-agent-RL?
- Ronchy2000/Multi-agent-RL has 426 stars on GitHub.
- Where can I find Multi-agent-RL?
- Ronchy2000/Multi-agent-RL is on GitHub at https://github.com/Ronchy2000/Multi-agent-RL.