← Search

Na Lou

2 accepted papers

2025

Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation

AAAI 2025technical

A key challenge in multi-agent collaborative tasks is reducing uncertainty about teammates to enhance cooperative performance. Explicit communication methods can reduce uncertainty about teammates, but the associated high communication costs limit their practicality. Alternatively, implicit consensu…

Cited by 0SourcePDFScholar
2024

Adaptive Parameter Sharing for Multi-Agent Reinforcement Learning

ICASSP 2024accepted

Parameter sharing, as an important technique in multi-agent systems, can effectively solve the scalability issue in large-scale agent problems. However, the effectiveness of parameter sharing largely depends on the environment setting. When agents have different identities or tasks, naive parameter…

Cited by 0SourceScholar