4 papers
D2M: A Decentralized, Privacy-Preserving, Incentive-Compatible Data Marketplace for Collaborative Learning
Yash Srivastava, Shalin Jain, Sneha Awathare +1
The rising demand for collaborative machine learning and data analytics calls for secure and decentralized data sharing frameworks that balance privacy, trust, and incentives. Exis…
JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes
Shalin Anand Jain, Jiazhen Liu, Siva Kailas +1
Multi-agent reinforcement learning (MARL) has emerged as a promising solution for learning complex and scalable coordination behaviors in multi-robot systems. However, established…
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…
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…