Miguel Calvo-Fullana
2 indexed papers
Recent (6 mo)
2With code
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226
Top categories
AI×2ML×1
Frequent co-authors
Research Timeline
2026
Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics
The paper proposes a scalable, distributed approach for constrained Multi-Agent Reinforcement Learning by using local consensus over dual variables to ensure global constraint satisfaction without centralized coordination.
Coordination Graphs for Constrained Multi-Agent Reinforcement Learning
The paper introduces Coordination Graphs for Constrained Multi-Agent Reinforcement Learning (CG-CMARL), a scalable framework that decomposes complex joint action spaces into pairwise regions to handle coordination and constraints efficiently.
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Papers
cs.AIRecentJun 1, 2026
Coordination Graphs for Constrained Multi-Agent Reinforcement Learning
The paper introduces Coordination Graphs for Constrained Multi-Agent Reinforcement Learning (CG-CMARL), a scalable framework that decomposes complex joint action spaces into pairwise regions to handle…
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cs.LGcs.AIRecentMay 28, 2026