On Improving Decentralized Hysteretic Deep Reinforcement Learning. - Xueguang Lyu; Christopher Amato (CoRR, 2018)

Likelihood Quantile Networks for Coordinating Multi-Agent Reinforcement Learning. - Xueguang Lyu; Christopher Amato (AAMAS, 2020)

Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. - Xueguang Lyu; Yuchen Xiao; Brett Daley; Christopher Amato (AAMAS, 2021)

Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning. - Yuchen Xiao; Xueguang Lyu; Christopher Amato (MRS, 2021)

A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning. - Xueguang Lyu; Andrea Baisero; Yuchen Xiao; Christopher Amato (AAAI, 2022)

On Centralized Critics in Multi-Agent Reinforcement Learning. - Xueguang Lyu; Andrea Baisero; Yuchen Xiao; Brett Daley; Christopher Amato (J. Artif. Intell. Res., 2023)

LLM Collaboration With Multi-Agent Reinforcement Learning. - Shuo Liu; Zeyu Liang; Xueguang Lyu; Christopher Amato (CoRR, 2025)