73 citations · 82 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Personalized Decision Supports based on Theory of Mind Modeling and Explainable Reinforcement Learning
Huao Li, Yao Fan, Keyang Zheng +2
In this paper, we propose a novel personalized decision support system that combines Theory of Mind (ToM) modeling and explainable Reinforcement Learning (XRL) to provide effective…
cs.CL2023★ 73 cited
Theory of Mind for Multi-Agent Collaboration via Large Language Models
Huao Li, Yu Quan Chong, Simon Stepputtis +4
While Large Language Models (LLMs) have demonstrated impressive accomplishments in both reasoning and planning, their abilities in multi-agent collaborations remains largely unexpl…
cs.LG2022★ 9 cited
Interpretable Learned Emergent Communication for Human-Agent Teams
Seth Karten, Mycal Tucker, Huao Li +3
Learning interpretable communication is essential for multi-agent and human-agent teams (HATs). In multi-agent reinforcement learning for partially-observable environments, agents…