Rowan McAllister

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Sergey LevineUC Berkeley, Physical IntelligenceZweryfikowany adres z eecs.berkeley.edu
Yarin GalAssociate Professor, University of OxfordZweryfikowany adres z cs.ox.ac.uk
Nicholas RhinehartAssistant Professor, University of TorontoZweryfikowany adres z utoronto.ca
Roberto CalandraProfessor, TU Dresden / Centre for Tactile Internet with Human-in-the-Loop (CeTI)Zweryfikowany adres z tu-dresden.de
Adrien GaidonAdjunct Professor, StanfordZweryfikowany adres z stanford.edu
Kris KitaniCarnegie Mellon University, Meta FAIRZweryfikowany adres z andrew.cmu.edu
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeZweryfikowany adres z cam.ac.uk
Mark van der WilkAssociate Professor, University of OxfordZweryfikowany adres z cs.ox.ac.uk
Blake WulfeMachine Learning Researcher, Toyota Research Institute (TRI)Zweryfikowany adres z tri.global
Robert FitchSchool of Mechanical and Mechatronic Engineering, University of Technology SydneyZweryfikowany adres z uts.edu.au
Kurtland ChuaPrinceton UniversityZweryfikowany adres z princeton.edu
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyZweryfikowany adres z berkeley.edu
Thierry PeynotQueensland University of Technology (QUT)Zweryfikowany adres z qut.edu.au
Amar ShahPhD student, University of CambridgeZweryfikowany adres z cam.ac.uk
Adrian WellerDirector of Research, Machine Learning, University of CambridgeZweryfikowany adres z eng.cam.ac.uk
Roberto CipollaProfessor of Information Engineering, University of CambridgeZweryfikowany adres z eng.cam.ac.uk
Alex KendallUniversity of CambridgeZweryfikowany adres z cam.ac.uk
Jean MercatResearch scientist at Toyota Research InstituteZweryfikowany adres z tri.global
Ashwin BalakrishnaGoogle DeepMindZweryfikowany adres z google.com
Angelos FilosGoogle DeepMind, University of OxfordZweryfikowany adres z deepmind.com

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Rowan McAllister

Waymo

Zweryfikowany adres z waymo.com - Strona główna

Reinforcement Learning Robotics Machine Learning Autonomous Vehicles


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Deep reinforcement learning in a handful of trials using probabilistic dynamics models K Chua, R Calandra, R McAllister, S Levine Advances in Neural Information Processing Systems, 4754-4765, 2018	1537	2018
Learning invariant representations for reinforcement learning without reconstruction A Zhang, R McAllister, R Calandra, Y Gal, S Levine International Conference on Learning Representations, 2020	512	2020
PRECOG: Prediction conditioned on goals in visual multi-agent settings N Rhinehart, R McAllister, K Kitani, S Levine International Conference on Computer Vision, 2821-2830, 2019	447	2019
Concrete problems for autonomous vehicle safety: advantages of Bayesian deep learning R McAllister, Y Gal, A Kendall, M Van Der Wilk, A Shah, R Cipolla, ... International Joint Conferences on Artificial Intelligence, Inc., 2017	412*	2017
Improving PILCO with Bayesian neural network dynamics models Y Gal, R McAllister, CE Rasmussen Data-Efficient Machine Learning workshop, ICML 4, 2016	327	2016
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? A Filos, P Tigas, R McAllister, N Rhinehart, S Levine, Y Gal International Conference on Machine Learning, 2020	231	2020
Deep Imitative Models for Flexible Inference, Planning, and Control N Rhinehart, R McAllister, S Levine International Conference on Learning Representations, 2018	164	2018
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks B Thananjeyan, A Balakrishna, U Rosolia, F Li, R McAllister, JE Gonzalez, ... IEEE Robotics and Automation Letters 5 (2), 3612-3619, 2020	119	2020
Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads S Belkhale, R Li, G Kahn, R McAllister, R Calandra, S Levine IEEE Robotics and Automation Letters, 2020	110	2020
Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research C Gulino, J Fu, W Luo, G Tucker, E Bronstein, Y Lu, J Harb, X Pan, ... Advances in Neural Information Processing Systems 36, 2024	73	2024
Data-efficient reinforcement learning in continuous state-action Gaussian-POMDPs R McAllister, CE Rasmussen Advances in Neural Information Processing Systems, 2040-2049, 2017	57*	2017
Robustness to out-of-distribution inputs via task-aware generative uncertainty R McAllister, G Kahn, J Clune, S Levine International Conference on Robotics and Automation, 2019	47	2019
Learned stochastic mobility prediction for planning with control uncertainty on unstructured terrain T Peynot, ST Lui, R McAllister, R Fitch, S Sukkarieh Journal of Field Robotics 31 (6), 969-995, 2014	42	2014
Heterogeneous-agent trajectory forecasting incorporating class uncertainty B Ivanovic, KH Lee, P Tokmakov, B Wulfe, R Mcllister, A Gaidon, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022	38	2022
Contingencies from observations: Tractable contingency planning with learned behavior models N Rhinehart, J He, C Packer, MA Wright, R McAllister, JE Gonzalez, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 13663 …, 2021	34	2021
Hierarchical planning for self-reconfiguring robots using module kinematics R Fitch, R McAllister Distributed Autonomous Robotic Systems: The 10th International Symposium …, 2013	29	2013
Control-aware prediction objectives for autonomous driving R McAllister, B Wulfe, J Mercat, L Ellis, S Levine, A Gaidon 2022 International Conference on Robotics and Automation (ICRA), 01-08, 2022	26	2022
Dynamics-aware comparison of learned reward functions B Wulfe, A Balakrishna, L Ellis, J Mercat, R McAllister, A Gaidon arXiv preprint arXiv:2201.10081, 2022	21	2022
Rap: Risk-aware prediction for robust planning H Nishimura, J Mercat, B Wulfe, RT McAllister, A Gaidon Conference on Robot Learning, 381-392, 2023	19	2023
Motion planning and stochastic control with experimental validation on a planetary rover R McAllister, T Peynot, R Fitch, S Sukkarieh 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	19	2012

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