3 papers
cs.MA2026
ROAR: Benchmarking LMM Agents under Real-Time Constraints in Multiplayer Action-Shooter Games
Dawei Wang, Di Zhao, Jianran Yu +8
Large multimodal models (LMMs) are increasingly deployed as agents that perceive, reason, and act in interactive multi-agent environments. Yet most existing benchmarks for LMM-base…
cs.AI2026
MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation
Dawei Wang, Di Zhao, Xinyuan Liu +5
Credit assignment is a fundamental challenge in cooperative multi-agent reinforcement learning, particularly in embodied AI settings characterized by limited and delayed feedback a…
cs.AI2026
TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents
Dawei Wang, Chengming Zhou, Di Zhao +4
Recent breakthroughs in Large Language Models (LLMs) have positioned them as a promising paradigm for agents, with long-term planning and decision-making emerging as core general-p…