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Career

· Research Scientist, UC Berkeley

Publications (11)

Learning to Drive in a Day
IEEE International Conference on Robotics and Automation · 2018
744
cited
Urban Driving with Conditional Imitation Learning
IEEE International Conference on Robotics and Automation · 2019
170
cited
Flexible Motion In-betweening with Diffusion Models
International Conference on Computer Graphics and Interactive Techniques · 2024
63
cited
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning
Motion in Games · 2020
60
cited
CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control
International Conference on Learning Representations · 2024
56
cited
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
International Conference on Intelligent Transportation Systems · 2021
54
cited
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels
arXiv.org · 2022
20
cited
Physics-based Motion Retargeting from Sparse Inputs
Proceedings of the ACM on Computer Graphics and Interactive Techniques · 2023
18
cited
Learning to Brachiate via Simplified Model Imitation
International Conference on Computer Graphics and Interactive Techniques · 2022
17
cited
Physical Simulation of Balance Recovery after a Push
Motion in Games · 2023
5
cited
Diffusion-based Planning with Learned Viability Filters
Proceedings of the ACM on Computer Graphics and Interactive Techniques · 2025
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