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cs.MA2025
TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication
Peihong Yu, Manav Mishra, Syed Zaidi +1
The "sight range dilemma" in cooperative Multi-Agent Reinforcement Learning (MARL) presents a significant challenge: limited observability hinders team coordination, while extensiv…
cs.MA2024
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
Peihong Yu, Manav Mishra, Alec Koppel +5
Multi-Agent Reinforcement Learning (MARL) algorithms face the challenge of efficient exploration due to the exponential increase in the size of the joint state-action space. While…
cs.MA2023
Enhancing Multi-Agent Coordination through Common Operating Picture Integration
Peihong Yu, Bhoram Lee, Aswin Raghavan +3
In multi-agent systems, agents possess only local observations of the environment. Communication between teammates becomes crucial for enhancing coordination. Past research has pri…