Roy Fox
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RLlib: Abstractions for Distributed Reinforcement Learning
E Liang*, R Liaw*, R Nishihara, P Moritz, R Fox, K Goldberg, J Gonzalez, ...
35th International Conference on Machine Learning (ICML), 2018
2342018
Taming the Noise in Reinforcement Learning via Soft Updates
R Fox*, A Pakman*, N Tishby
32nd Conference on Uncertainty in Artificial Intelligence (UAI), 2016
2302016
DART: Noise Injection for Robust Imitation Learning
M Laskey, J Lee, R Fox, A Dragan, K Goldberg
1st Conference on Robot Learning (CoRL), 2017
131*2017
Multi-Level Discovery of Deep Options
R Fox, S Krishnan, I Stoica, K Goldberg
arXiv preprint arXiv:1703.08294, 2017
842017
Ray RLlib: A Composable and Scalable Reinforcement Learning Library
E Liang*, R Liaw*, R Nishihara, P Moritz, R Fox, J Gonzalez, K Goldberg, ...
Deep Reinforcement Learning symposium (DeepRL @ NIPS), 2017
702017
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
S Krishnan*, R Fox*, I Stoica, K Goldberg
1st Conference on Robot Learning (CoRL), 2017
502017
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure
D Seita, S Krishnan, R Fox, S McKinley, J Canny, K Goldberg
35th IEEE International Conference on Robotics and Automation (ICRA), 2018
472018
AutoPandas: Neural-Backed Generators for Program Synthesis
R Bavishi, C Lemieux, R Fox, K Sen, I Stoica
10th ACM SIGPLAN Conference on Systems, Programming, Languages, and …, 2019
242019
A Multi-Agent Control Framework for Co-Adaptation in Brain-Computer Interfaces
J Merel*, R Fox*, T Jebara, L Paninski
27th Annual Conference on Neural Information Processing Systems (NIPS), 2013
232013
Parametrized Hierarchical Procedures for Neural Programming
R Fox, R Shin, S Krishnan, K Goldberg, D Song, I Stoica
6th International Conference on Learning Representations (ICLR), 2018
202018
Statistical Data Cleaning for Deep Learning of Automation Tasks from Demonstrations
C Chuck, M Laskey, S Krishnan, R Joshi, R Fox, K Goldberg
13th IEEE Conference on Automation Science and Engineering (CASE), 2017
122017
Principled Option Learning in Markov Decision Processes
R Fox*, M Moshkovitz*, N Tishby
13th European Workshop on Reinforcement Learning (EWRL), 2016
122016
Minimum-Information LQG Control — Part I: Memoryless Controllers
R Fox, N Tishby
55th IEEE Conference on Decision and Control (CDC), 2016
112016
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
S McAleer*, J Lanier*, R Fox, P Baldi
34th Conference on Neural Information Processing Systems (NeurIPS), 2020
102020
Multi-Task Hierarchical Imitation Learning for Home Automation
R Fox*, R Berenstein*, I Stoica, K Goldberg
15th IEEE Conference on Automation Science and Engineering (CASE), 2019
102019
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models
AK Tanwani, J Lee, B Thananjeyan, M Laskey, S Krishnan, R Fox, ...
13th International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018
92018
Robustly Adjusting Indoor Drip Irrigation Emitters with the Toyota HSR Robot
R Berenstein, R Fox, S McKinley, S Carpin, K Goldberg
35th IEEE International Conference on Robotics and Automation (ICRA), 2018
82018
A Reinforcement Learning Algorithm with Polynomial Interaction Complexity for Only-Costly-Observable MDPs
R Fox, M Tennenholtz
22nd Conference on Artificial Intelligence (AAAI), 2007
82007
Minimum-Information LQG Control — Part II: Retentive Controllers
R Fox, N Tishby
55th IEEE Conference on Decision and Control (CDC), 2016
72016
Bounded Planning in Passive POMDPs
R Fox, N Tishby
29th International Conference on Machine Learning (ICML), 2012
62012
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