1 citations · 1 across the 2 of their papers we have counts for
3 papers
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…
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,…
WARPD: World model Assisted Reactive Policy Diffusion
Shashank Hegde, Satyajeet Das, Gautam Salhotra +1
With the increasing availability of open-source robotic data, imitation learning has become a promising approach for both manipulation and locomotion. Diffusion models are now wide…