10 citations · 40 across the 74 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Multi-Robot Coordinated Planning in Confined Environments under Kinematic Constraints
Clayton Mangette, Pratap Tokekar
We investigate the problem of multi-robot coordinated planning in environments where the robots may have to operate in close proximity to each other. We seek computationally effici…