Preprint

All Publication Topics Autonomous Driving Autonomous Exploration Benchmarks Compression Computer Vision First-Person Video Forecasting Generative Models Imitation Learning Intrinsic Control Machine Learning Manipulation Offroad Navigation Paper Award Planning Reinforcement Learning Reward Learning Robotics

Residual Reward Models for Preference-based Reinforcement Learning

Chenyang Cao, Miguel Rogel-García, Mohamed Nabail, Xueqian Wang, Nicholas Rhinehart.
Residual Reward Models for Preference-based Reinforcement Learning.
arXiv:2507.00611, (arXiv), 2025.

Reward Learning Machine Learning Robotics Reinforcement Learning Manipulation

Towards foundational LiDAR world models with efficient latent flow matching

Tianran Liu, Shengwen Zhao, Nicholas Rhinehart.
Towards foundational LiDAR world models with efficient latent flow matching.
arXiv:2506.23434, (arXiv), 2025.

Computer Vision Forecasting Machine Learning Robotics

Explore and control with adversarial surprise

Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine.
Explore and control with adversarial surprise.
arXiv preprint arXiv:2107.07394, 2021.