Agents
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making Y ubin Kim
Foundation models are becoming valuable tools in medicine.
Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators
We provide theoretical guarantees for CBPR's rapid convergence to the optimal policy once human partners alter their policies.
Language-Driven Interactive Traffic Trajectory Generation
In this work, we propose InteractTraj, the first language-driven traffic trajectory generator that can generate interactive traffic trajectories.
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
As a variant of the famous communication game Werewolf, One Night Ultimate W erewolf (ONUW) requires players to develop strategic discussion policies due to the potential role changes that increase the uncertainty and complexity of the game.