Xueguang Lyu

According to our database, Xueguang Lyu authored at least 7 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

LLM Collaboration With Multi-Agent Reinforcement Learning.

Shuo Liu, Zeyu Liang, Xueguang Lyu, Christopher Amato

CoRR, August, 2025

2023

On Centralized Critics in Multi-Agent Reinforcement Learning.

Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato

J. Artif. Intell. Res., 2023

2022

A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning.

Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning.

Yuchen Xiao, Xueguang Lyu, Christopher Amato

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2021

Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning.

Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Likelihood Quantile Networks for Coordinating Multi-Agent Reinforcement Learning.

Xueguang Lyu, Christopher Amato

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2018

On Improving Decentralized Hysteretic Deep Reinforcement Learning.

Xueguang Lyu, Christopher Amato

CoRR, 2018