Rowan McAllister

Citado por

	Total	Desde 2019
Citas	4039	3889
Índice h	18	17
Índice i10	22	21

940

470

235

705

201520162017201820192020202120222023202411 14 25 77 247 472 754 838 934 641

Acceso público

Ver todo

11 artículos

0 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Sergey LevineUC Berkeley, Physical IntelligenceDirección de correo verificada de eecs.berkeley.edu
Yarin GalAssociate Professor, University of OxfordDirección de correo verificada de cs.ox.ac.uk
Nicholas RhinehartAssistant Professor, University of TorontoDirección de correo verificada de utoronto.ca
Roberto CalandraProfessor, TU Dresden, Centre for Tactile Internet with Human-in-the-Loop (CeTI)Dirección de correo verificada de tu-dresden.de
Adrien GaidonAdjunct Professor, StanfordDirección de correo verificada de stanford.edu
Kris KitaniCarnegie Mellon University, Meta FAIRDirección de correo verificada de andrew.cmu.edu
Mark van der WilkAssociate Professor, University of OxfordDirección de correo verificada de cs.ox.ac.uk
Robert FitchSchool of Mechanical and Mechatronic Engineering, University of Technology SydneyDirección de correo verificada de uts.edu.au
Blake WulfeMachine Learning Researcher, Toyota Research Institute (TRI)Dirección de correo verificada de tri.global
Kurtland ChuaPrinceton UniversityDirección de correo verificada de princeton.edu
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyDirección de correo verificada de berkeley.edu
Thierry PeynotQueensland University of Technology (QUT)Dirección de correo verificada de qut.edu.au
Amar ShahPhD student, University of CambridgeDirección de correo verificada de cam.ac.uk
Adrian WellerDirector of Research, Machine Learning, University of CambridgeDirección de correo verificada de eng.cam.ac.uk
Roberto CipollaProfessor of Information Engineering, University of CambridgeDirección de correo verificada de eng.cam.ac.uk
Alex KendallUniversity of CambridgeDirección de correo verificada de cam.ac.uk
Jean MercatResearch scientist at Toyota Research InstituteDirección de correo verificada de tri.global
Ashwin BalakrishnaGoogle DeepMindDirección de correo verificada de google.com
Amy ZhangAssistant Professor of Electrical and Computer Engineering at University of Texas at AustinDirección de correo verificada de austin.utexas.edu
Angelos FilosGoogle DeepMind, University of OxfordDirección de correo verificada de deepmind.com

Seguir

Rowan McAllister

Waymo

Dirección de correo verificada de waymo.com - Página principal

Reinforcement Learning Robotics Machine Learning Autonomous Vehicles


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1427	2018
Learning invariant representations for reinforcement learning without reconstruction A Zhang, R McAllister, R Calandra, Y Gal, S Levine arXiv preprint arXiv:2006.10742, 2020	471	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	421	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	393*	2017
Improving PILCO with Bayesian neural network dynamics models Y Gal, R McAllister, CE Rasmussen Data-Efficient Machine Learning workshop, ICML 4, 2016	311	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	203	2020
Deep Imitative Models for Flexible Inference, Planning, and Control N Rhinehart, R McAllister, S Levine International Conference on Learning Representations, 2018	159	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	112	2020
Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads S Belkhale, R Li, G Kahn, R McAllister, R Calandra, S Levine arXiv preprint arXiv:2004.11345, 2020	101	2020
Data-efficient reinforcement learning in continuous state-action Gaussian-POMDPs R McAllister, CE Rasmussen Advances in Neural Information Processing Systems, 2040-2049, 2017	54*	2017
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	46	2024
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	44	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	37	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	29	2021
Hierarchical planning for self-reconfiguring robots using module kinematics R Fitch, R McAllister Distributed Autonomous Robotic Systems: The 10th International Symposium …, 2013	28	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	23	2022
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
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	16	2022
Outcome-driven reinforcement learning via variational inference TGJ Rudner, V Pong, R McAllister, Y Gal, S Levine Advances in Neural Information Processing Systems 34, 13045-13058, 2021	15	2021

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores