Human-Agent Cooperation in Games under Incomplete Information through Natural Language Communication
22 Mar 2024 | publication Shenghui Chen, Daniel Fried, Ufuk TopcuInternational Joint Conference on Artificial Intelligence, Human-Centred AI, 2024
Developing autonomous agents that can strategize and cooperate with humans under information asymmetry is challenging without effective communication in natural language.
In this paper, we use a testbed based on

We introduce a

To solve this problem, we propose a

The planning module leverages these flags to compute a policy using an asymmetric information-set Monte Carlo tree search with flag exchange (
