most citedMitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.ROShow all

2 papers · 1 filter

cs.RO2026★ 1 cited

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…

cs.RO2026

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,…