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cs.MA2025
Capability-Aware Shared Hypernetworks for Flexible Heterogeneous Multi-Robot Coordination
Kevin Fu, Shalin Anand Jain, Pierce Howell +1
Recent advances have enabled heterogeneous multi-robot teams to learn complex and effective coordination skills. However, existing neural architectures that support heterogeneous t…
cs.MA2025
Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination
Siva Kailas, Shalin Jain, Harish Ravichandar
Graph Neural Networks (GNNs), developed by the graph learning community, have been adopted and shown to be highly effective in multi-robot and multi-agent learning. Inspired by thi…