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Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?

Jun 26, 2020
Angelos Filos, Panagiotis Tigas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, Yarin Gal

* Camera-ready version, International Conference of Machine Learning 2020 

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Learning Invariant Representations for Reinforcement Learning without Reconstruction

Jun 18, 2020
Amy Zhang, Rowan McAllister, Roberto Calandra, Yarin Gal, Sergey Levine

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Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads

Apr 23, 2020
Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine

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Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations

Jun 03, 2019
Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Felix Li, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine, Francesco Borrelli, Ken Goldberg

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PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings

May 07, 2019
Nicholas Rhinehart, Rowan McAllister, Kris Kitani, Sergey Levine

* Website: 

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Deep Imitative Models for Flexible Inference, Planning, and Control

Jan 31, 2019
Nicholas Rhinehart, Rowan McAllister, Sergey Levine

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Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty

Dec 27, 2018
Rowan McAllister, Gregory Kahn, Jeff Clune, Sergey Levine

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Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

Nov 02, 2018
Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine

* NIPS 2018, video and code available at 

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Data-Efficient Reinforcement Learning in Continuous-State POMDPs

Feb 08, 2016
Rowan McAllister, Carl Edward Rasmussen

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