Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning

Azad Deihim, Eduardo Alonso, Dimitra Apostolopoulou

We present the Multi-Agent Transformer World Model (MATWM), a novel transformer-based world model designed for multi-agent reinforcement learning in both vector- and image-based en…