3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.AI2026
Multi-Agent Reinforcement Learning with Communication-Constrained Priors
Guang Yang, Tianpei Yang, Jingwen Qiao +4
Communication is one of the effective means to improve the learning of cooperative policy in multi-agent systems. However, in most real-world scenarios, lossy communication is a pr…
cs.MA2025★ 3 cited
Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework
Jianing Ye, Chenghao Li, Yongqiang Dou +3
Decentralized execution is one core demand in multi-agent reinforcement learning (MARL). Recently, most popular MARL algorithms have adopted decentralized policies to enable decent…