3 papers
cs.RO2026
Difference-Aware Retrieval Policies for Imitation Learning
Quinn Pfeifer, Ethan Pronovost, Paarth Shah +3
Parametric imitation learning via behavior cloning can suffer from poor generalization to out-of-distribution states due to compounding errors during deployment. We show that reusi…
cs.LG2026
The Geometry of Learning to Avoid Interventions
Ethan Pronovost, Khimya Khetarpal, Siddhartha Srinivasa
Human interventions are a common source of supervision in autonomous systems during deployment. Many existing approaches are based on avoiding interventions, yet the consequences o…
cs.LG2025
Linear Memory SE(2) Invariant Attention
Ethan Pronovost, Neha Boloor, Peter Schleede +3
Processing spatial data is a key component in many learning tasks for autonomous driving such as motion forecasting, multi-agent simulation, and planning. Prior works have demonstr…