activity
20192024
most citedDriving in Real Life with Inverse Reinforcement Learning

9 citations · 15 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2024★ 1 cited

DriveGPT: Scaling Autoregressive Behavior Models for Driving

Xin Huang, Eric M. Wolff, Paul Vernaza +13

We present DriveGPT, a scalable behavior model for autonomous driving. We model driving as a sequential decision-making task, and learn a transformer model to predict future agent…

cs.LG2019

CoverNet: Multimodal Behavior Prediction using Trajectory Sets

Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton +2

We present CoverNet, a new method for multimodal, probabilistic trajectory prediction for urban driving. Previous work has employed a variety of methods, including multimodal regre…