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Qingxu Fu

2 accepted papers

2026

Unreal-MAP: Unreal-Engine-Based General Platform for Multi-agent Reinforcement Learning

AAAI 2026technical

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 tasks using the vast visual and physical resources available in the UE community, and deploy state-of-the-art (SOTA) MA

Cited by 0SourcePDFScholar
2022

Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems

AAAI 2022technical

When dealing with a series of imminent issues, humans can naturally concentrate on a subset of these concerning issues by prioritizing them according to their contributions to motivational indices, e.g., the probability of winning a game. This idea of concentration offers insights into reinforcement…