Rowan McAllister
Title
Cited by
Cited by
Year
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
3132018
Improving PILCO with Bayesian neural network dynamics models
Y Gal, R McAllister, CE Rasmussen
Data-Efficient Machine Learning workshop, ICML 4, 2016
1362016
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
1162017
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
712019
Deep Imitative Models for Flexible Inference, Planning, and Control
N Rhinehart, R McAllister, S Levine
International Conference on Learning Representations, 2018
382018
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
312014
Data-efficient reinforcement learning in continuous state-action Gaussian-POMDPs
R McAllister, CE Rasmussen
Advances in Neural Information Processing Systems, 2040-2049, 2017
26*2017
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
20*2020
Hierarchical planning for self-reconfiguring robots using module kinematics
R Fitch, R McAllister
Distributed Autonomous Robotic Systems, 477-490, 2013
182013
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
112012
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
8*2020
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
82019
Bayesian learning for data-efficient control
R McAllister
Department of Engineering, University of Cambridge, 2017
42017
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
32020
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
Bayesian Reinforcement Learning
R Mcallister, K Dziugaite
Bayesian Reinforcement Learning 35 (March), 2013
22013
Autonomous reconfiguration planning in modular robots
R McAllister
surfaces 28, 438, 2009
2*2009
Learning invariant representations for reinforcement learning without reconstruction
A Zhang, R McAllister, R Calandra, Y Gal, S Levine
arXiv preprint arXiv:2006.10742, 2020
12020
Unsupervised Exploration with Deep Model-Based Reinforcement Learning
K Chua, R McAllister, R Calandra, S Levine
12018
Data-Efficient Policy Search using PILCO and Directed-Exploration
R McAllister, AC UK, M van der Wilk, CE Rasmussen
12016
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