Diversity is Strength: Mastering Football Full Game with Interactive Reinforcement Learning of Multiple AIs

no code implementations • 28 Jun 2023 • Chenglu Sun, Shuo Shen, Sijia Xu, Weidong Zhang

The AI's strength is closely related to its diversity of strategies, and this relationship can guide us to train AI with both strong and rich strategies.

Mastering Asymmetrical Multiplayer Game with Multi-Agent Asymmetric-Evolution Reinforcement Learning

no code implementations • 20 Apr 2023 • Chenglu Sun, Yichi Zhang, Yu Zhang, Ziling Lu, Jingbin Liu, Sijia Xu, Weidong Zhang

We propose asymmetric-evolution training (AET), a novel multi-agent reinforcement learning framework that can train multiple kinds of agents simultaneously in AMP game.

Multi-agent Reinforcement Learning reinforcement-learning