Constrained Multi-Agent Reinforcement Learning in Imagination

Raz Shmueli, Shahaf S. Shperberg

Predicting cost in a multi-agent world model moves most constrained policy updates into imagination: the stronger model-free baseline needs $10$ to $20$ times CA-MAMBA's interactio…