Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Pengxin Wang

Pengxin Wang

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
0
Benchmarked
0

Publications per year

1
26

Top categories

Multiagent×1AI×1

Frequent co-authors

Lihao Guo1×
Yi Xie1×
Bo Liu1×
Siyang Cao1×
Jingdi Chen1×

Research Timeline

2026
Learning Coordinated Preference for Multi-Objective Multi-Agent Reinforcement Learning

This paper proposes a new method for cooperative multi-objective multi-agent reinforcement learning that learns agent-specific preferences to improve team performance and trade-off coordination.

Highlighted terms show continued research focus across papers

Papers

cs.MAcs.AIEmpiricalRecentJun 12, 2026

Learning Coordinated Preference for Multi-Objective Multi-Agent Reinforcement Learning

Pengxin Wang, Lihao Guo, Yi Xie, Bo Liu +2 more

This paper proposes a new method for cooperative multi-objective multi-agent reinforcement learning that learns agent-specific preferences to improve team performance and trade-off coordination.

View →