Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models

Yang Zhang, Chenjia Bai, Bin Zhao +3

Learning a world model for model-free Reinforcement Learning (RL) agents can significantly improve the sample efficiency by learning policies in imagination. However, building a wo…