1 citations · 1 across the 6 of their papers we have counts for
3 papers · 1 filter
Steering Multirobot Behavior via Closed-Loop Affine Activation Editing
Satyajeet Das, Darren Chiu, Shashank Hegde +1
Real-world robots need to adapt their behavior beyond the envelope of their pre-trained policy. Policy finetuning or retraining are options, but they risk catastrophic forgetting,…
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models
Alexander Popov, Alperen Degirmenci, David Wehr +9
We propose the use of latent space generative world models to address the covariate shift problem in autonomous driving. A world model is a neural network capable of predicting an…
Efficiently Learning Small Policies for Locomotion and Manipulation
Shashank Hegde, Gaurav S. Sukhatme
Neural control of memory-constrained, agile robots requires small, yet highly performant models. We leverage graph hyper networks to learn graph hyper policies trained with off-pol…