16 citations · 47 across the 29 of their papers we have counts for
4 papers · 1 filter
LagNetViP: A Lagrangian Neural Network for Video Prediction
Christine Allen-Blanchette, Sushant Veer, Anirudha Majumdar +1
The dominant paradigms for video prediction rely on opaque transition models where neither the equations of motion nor the underlying physical quantities of the system are easily i…
Generalization Guarantees for Imitation Learning
Allen Z. Ren, Sushant Veer, Anirudha Majumdar
Control policies from imitation learning can often fail to generalize to novel environments due to imperfect demonstrations or the inability of imitation learning algorithms to acc…
CoNES: Convex Natural Evolutionary Strategies
Sushant Veer, Anirudha Majumdar
We present a novel algorithm -- convex natural evolutionary strategies (CoNES) -- for optimizing high-dimensional blackbox functions by leveraging tools from convex optimization an…
Probably Approximately Correct Vision-Based Planning using Motion Primitives
Sushant Veer, Anirudha Majumdar
This paper presents an approach for learning vision-based planners that provably generalize to novel environments (i.e., environments unseen during training). We leverage the Proba…