1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.MA2025
Heterogeneity in Multi-Agent Reinforcement Learning
Tianyi Hu, Zhiqiang Pu, Yuan Wang +3
Heterogeneity is a fundamental property in multi-agent reinforcement learning (MARL), which is closely related not only to the functional differences of agents, but also to policy…
cs.AI2025★ 1 cited
Unreal-MAP: Unreal-Engine-Based General Platform for Multi-Agent Reinforcement Learning
Tianyi Hu, Qingxu Fu, Zhiqiang Pu +2
In this paper, we propose Unreal Multi-Agent Playground (Unreal-MAP), an MARL general platform based on the Unreal-Engine (UE). Unreal-MAP allows users to freely create multi-agent…