Deepak E. Gopinath — accepted AI-conference papers

2025

Computational Teaching for Driving via Multi-Task Imitation Learning

Deepak E. Gopinath, Xiongyi Cui, Jonathan A. DeCastro, Emily Sumner, Jean Costa, Hiroshi Yasuda +7

ICRA 2025

Learning motor skills for sports or performance driving is often done with professional instruction from expert human teachers, whose availability is limited. Our goal is to enable automated teaching via a learned model that interacts with the student similar to a human teacher. However, training su

Cited by 4 Source ↗Scholar ↗

2025

Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions

Haimin Hu, Jaime Fernández Fisac, Naomi Ehrich Leonard, Deepak E. Gopinath, Jonathan A. DeCastro, Guy Rosman

ICRA 2025

Non-cooperative interactions commonly occur in multi-agent scenarios such as car racing, where an ego vehicle can choose to overtake the rival, or stay behind it until a safe overtaking “corridor” opens. While an expert human can do well at making such time-sensitive decisions, autonomous agents are

Cited by 9 Source ↗Scholar ↗