Presented Federated IRL Work at L4DC 2026

I attended the 8th Annual Learning for Dynamics & Control Conference (L4DC 2026) at the University of Southern California, where I presented our work, Can Optimal Transport Improve Federated Inverse Reinforcement Learning?. The paper introduces an optimal transport-based approach for combining locally learned reward functions across heterogeneous agents.