Naoto Yoshida

Dreamer-CPC: Message Learning with World Models for Decentralized Multi-agent Reinforcement Learning

Taisuke Takayama, Naoto Yoshida, Tadahiro Taniguchi

In multi-agent reinforcement learning (MARL), inter-agent communication is effective for improving performance under partial observability. Representation learning-based approaches enable decentralized agents to learn messages grounded in their own observations, but they rely onl…Read more