Rowan McAllister
TitleCited byYear
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
1082018
Improving PILCO with Bayesian neural network dynamics models
Y Gal, R McAllister, CE Rasmussen
Data-Efficient Machine Learning workshop, ICML 4, 2016
842016
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
53*2017
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
272014
Deep Imitative Models for Flexible Inference, Planning, and Control
N Rhinehart, R McAllister, S Levine
arXiv preprint arXiv:1810.06544, 2018
162018
Data-efficient reinforcement learning in continuous state-action Gaussian-POMDPs
R McAllister, CE Rasmussen
Advances in Neural Information Processing Systems, 2040-2049, 2017
16*2017
Hierarchical planning for self-reconfiguring robots using module kinematics
R Fitch, R McAllister
Distributed Autonomous Robotic Systems, 477-490, 2013
152013
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
82012
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
N Rhinehart, R McAllister, K Kitani, S Levine
arXiv preprint arXiv:1905.01296, 2019
62019
Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations
B Thananjeyan, A Balakrishna, U Rosolia, F Li, R McAllister, JE Gonzalez, ...
arXiv preprint arXiv:1905.13402, 2019
32019
Autonomous reconfiguration of a multi-modal mobile robot
T Peynot, R Fitch, R McAllister, A Alempijevic
Workshop on Automated Diagnosis, Repair and Re-Configuration of Robot …, 2011
32011
Robustness to out-of-distribution inputs via task-aware generative uncertainty
R McAllister, G Kahn, J Clune, S Levine
arXiv preprint arXiv:1812.10687, 2018
22018
Bayesian Learning for Data-Efficient Control
R McAllister
Department of Engineering, University of Cambridge, 2017
22017
Bayesian Reinforcement Learning
R Mcallister, K Dziugaite
Bayesian Reinforcement Learning 35 (March), 2013
22013
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, ...
arXiv preprint arXiv:1905.13402, 2019
12019
Unsupervised Exploration with Deep Model-Based Reinforcement Learning
K Chua, R McAllister, R Calandra, S Levine
12018
Resilient navigation through probabilistic modality reconfiguration
T Peynot, R Fitch, R McAllister, A Alempijevic
Intelligent Autonomous Systems 12, 75-88, 2013
12013
Autonomous reconfiguration planning in modular robots
R McAllister
surfaces 28, 438, 2009
1*2009
Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations
B Thananjeyan, A Balakrishna, U Rosolia, F Li, R McAllister, JE Gonzalez, ...
PRECOG: PREdictions Conditioned On Goals in Visual Multi-Agent Scenarios
N Rhinehart, R McAllister, K Kitani, S Levine
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Articles 1–20