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.AI2026
OpenGuanDan: A Large-Scale Imperfect Information Game Benchmark
Chao Li, Shangdong Yang, Chiheng Zhan +5
The advancement of data-driven artificial intelligence (AI), particularly machine learning, heavily depends on large-scale benchmarks. Despite remarkable progress across domains ra…