Rowan McAllister

Geciteerd door

	Alles	Sinds 2020
Citaties	4506	4105
h-index	19	18
i10-index	25	23

1100

550

275

825

201620172018201920202021202220232024202514 25 77 247 473 760 857 936 1010 68

Openbare toegang

Alles bekijken

11 artikelen

0 artikelen

beschikbaar

niet beschikbaar

Op basis van financieringsmachtigingen

Medeauteurs

Sergey LevineUC Berkeley, Physical IntelligenceGeverifieerd e-mailadres voor eecs.berkeley.edu
Yarin GalAssociate Professor, University of OxfordGeverifieerd e-mailadres voor cs.ox.ac.uk
Nicholas RhinehartAssistant Professor, University of TorontoGeverifieerd e-mailadres voor utoronto.ca
Roberto CalandraProfessor, TU Dresden / Centre for Tactile Internet with Human-in-the-Loop (CeTI)Geverifieerd e-mailadres voor tu-dresden.de
Adrien GaidonAdjunct Professor, StanfordGeverifieerd e-mailadres voor stanford.edu
Kris KitaniCarnegie Mellon University, Meta FAIRGeverifieerd e-mailadres voor andrew.cmu.edu
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeGeverifieerd e-mailadres voor cam.ac.uk
Blake WulfeMachine Learning Researcher, Toyota Research Institute (TRI)Geverifieerd e-mailadres voor tri.global
Mark van der WilkAssociate Professor, University of OxfordGeverifieerd e-mailadres voor cs.ox.ac.uk
Robert FitchSchool of Mechanical and Mechatronic Engineering, University of Technology SydneyGeverifieerd e-mailadres voor uts.edu.au
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyGeverifieerd e-mailadres voor berkeley.edu
Kurtland ChuaPrinceton UniversityGeverifieerd e-mailadres voor princeton.edu
Thierry PeynotQueensland University of Technology (QUT)Geverifieerd e-mailadres voor qut.edu.au
Amar ShahPhD student, University of CambridgeGeverifieerd e-mailadres voor cam.ac.uk
Adrian WellerDirector of Research, Machine Learning, University of CambridgeGeverifieerd e-mailadres voor eng.cam.ac.uk
Roberto CipollaProfessor of Information Engineering, University of CambridgeGeverifieerd e-mailadres voor eng.cam.ac.uk
Alex KendallUniversity of CambridgeGeverifieerd e-mailadres voor cam.ac.uk
Jean MercatResearch scientist at Toyota Research InstituteGeverifieerd e-mailadres voor tri.global
Ashwin BalakrishnaGoogle DeepMindGeverifieerd e-mailadres voor google.com
Angelos FilosGoogle DeepMind, University of OxfordGeverifieerd e-mailadres voor deepmind.com

Volgen

Rowan McAllister

Waymo

Geverifieerd e-mailadres voor waymo.com - Homepage

Reinforcement Learning Robotics Machine Learning Autonomous Vehicles


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
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	1582	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	532	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	453	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	424*	2017
Improving PILCO with Bayesian neural network dynamics models Y Gal, R McAllister, CE Rasmussen Data-Efficient Machine Learning workshop, ICML 4, 2016	335	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	237	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	126	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	112	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	85	2024
Data-efficient reinforcement learning in continuous state-action Gaussian-POMDPs R McAllister, CE Rasmussen Advances in Neural Information Processing Systems, 2040-2049, 2017	58*	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	49	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	43	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	41	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	28	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	22	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
S2net: Stochastic sequential pointcloud forecasting X Weng, J Nan, KH Lee, R McAllister, A Gaidon, N Rhinehart, KM Kitani European Conference on Computer Vision, 549-564, 2022	19	2022

Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.

Artikelen 1–20

Citaties per jaar

Dubbele citaties

Samengevoegde citaties

Medeauteurs toevoegenMedeauteurs

Volgen

Geciteerd door

Medeauteurs