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.
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.
1 code implementation • 2 Dec 2018 • Sijia Xu, Hongyu Kuang, Zhi Zhuang, Renjie Hu, Yang Liu, Huyang Sun
These rules are not scalable and efficient enough to cope with the enormous yet partially observed state space in the game.