All Publications
Conferences
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
Stephen McAleer*, John Lanier*, Roy Fox, and Pierre Baldi
34th Conference on Neural Information Processing Systems (NeurIPS), 2020
AutoPandas: Neural-Backed Generators for Program Synthesis
Rohan Bavishi, Caroline Lemieux, Roy Fox, Koushik Sen, and Ion Stoica
10th ACM SIGPLAN Conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH OOPSLA), 2019
Multi-Task Hierarchical Imitation Learning for Home Automation
Roy Fox*, Ron Berenstein*, Ion Stoica, and Ken Goldberg
15th IEEE Conference on Automation Science and Engineering (CASE), 2019
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models
Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, and Sylvain Calinon
13th International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018
Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations
Jonathan Lee, Michael Laskey, Roy Fox, and Ken Goldberg
14th IEEE Conference on Automation Science and Engineering (CASE), 2018
RLlib: Abstractions for Distributed Reinforcement Learning
Eric Liang*, Richard Liaw*, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael Jordan, and Ion Stoica
35th International Conference on Machine Learning (ICML), 2018
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure
Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John Canny, and Ken Goldberg
35th IEEE International Conference on Robotics and Automation (ICRA), 2018
Robustly Adjusting Indoor Drip Irrigation Emitters with the Toyota HSR Robot
Ron Berenstein, Roy Fox, Stephen McKinley, Stefano Carpin, and Ken Goldberg
35th IEEE International Conference on Robotics and Automation (ICRA), 2018
Parametrized Hierarchical Procedures for Neural Programming
Roy Fox, Richard Shin, Sanjay Krishnan, Ken Goldberg, Dawn Song, and Ion Stoica
6th International Conference on Learning Representations (ICLR), 2018
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
Sanjay Krishnan*, Roy Fox*, Ion Stoica, and Ken Goldberg
1st Conference on Robot Learning (CoRL), 2017
DART: Noise Injection for Robust Imitation Learning
Michael Laskey, Jonathan Lee, Roy Fox, Anca Dragan, and Ken Goldberg
1st Conference on Robot Learning (CoRL), 2017
An Algorithm and User Study for Teaching Bilateral Manipulation via Iterated Best Response Demonstrations
Carolyn Chen, Sanjay Krishnan, Michael Laskey, Roy Fox, and Ken Goldberg
13th IEEE Conference on Automation Science and Engineering (CASE), 2017
Statistical Data Cleaning for Deep Learning of Automation Tasks from Demonstrations
Caleb Chuck, Michael Laskey, Sanjay Krishnan, Ruta Joshi, Roy Fox, and Ken Goldberg
13th IEEE Conference on Automation Science and Engineering (CASE), 2017
Principled Option Learning in Markov Decision Processes
Roy Fox*, Michal Moshkovitz*, and Naftali Tishby
13th European Workshop on Reinforcement Learning (EWRL), 2016
Taming the Noise in Reinforcement Learning via Soft Updates
Roy Fox*, Ari Pakman*, and Naftali Tishby
32nd Conference on Uncertainty in Artificial Intelligence (UAI), 2016
A Multi-Agent Control Framework for Co-Adaptation in Brain-Computer Interfaces
Josh Merel*, Roy Fox*, Tony Jebara, and Liam Paninski
27th Conference on Neural Information Processing Systems (NeurIPS), 2013
Workshops
Multi-Task Learning via Task Multi-Clustering
Andy Yan, Xin Wang, Ion Stoica, Joseph Gonzalez, and Roy Fox
Adaptive & Multitask Learning workshop (AMTL @ ICML), 2019
Hierarchical Imitation Learning via Variational Inference of Control Programs
Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, and Ion Stoica
Infer to Control: Probabilistic Reinforcement Learning and Structured Control workshop (Infer2Control @ NeurIPS), 2018
An Empirical Exploration of Gradient Correlations in Deep Learning
Daniel Rothchild, Roy Fox, Noah Golmant, Joseph Gonzalez, Michael Mahoney, Kai Rothauge, Ion Stoica, and Zhewei Yao
Integration of Deep Learning Theories workshop (DLT @ NeurIPS), 2018
Neural Inference of API Functions from Input–Output Examples
Rohan Bavishi, Caroline Lemieux, Neel Kant, Roy Fox, Koushik Sen, and Ion Stoica
Machine Learning for Systems workshop (ML for Sys @ NeurIPS), 2018
Imitation Learning of Hierarchical Programs via Variational Inference
Roy Fox*, Richard Shin*, Pieter Abbeel, Ken Goldberg, Dawn Song, and Ion Stoica
Neural Abstract Machines & Program Induction workshop (NAMPI @ ICML), 2018
Task-Relevant Embeddings for Robust Perception in Reinforcement Learning
Eric Liang, Roy Fox, Joseph Gonzalez, and Ion Stoica
Prediction and Generative Modeling in Reinforcement Learning workshop (PGMRL @ ICML), 2018
Robot Learning with Invariant Hidden Semi-Markov Models
Ajay Kumar Tanwani, Jonathon Lee, Michael Laskey, Sanjay Krishnan, Roy Fox, and Ken Goldberg
Perspectives on Robot Learning: Imitation and Causality workshop (Causal Imit. @ RSS), 2018
Ray RLlib: A Composable and Scalable Reinforcement Learning Library
Eric Liang*, Richard Liaw*, Robert Nishihara, Philipp Moritz, Roy Fox, Joseph Gonzalez, Ken Goldberg, and Ion Stoica
Deep Reinforcement Learning symposium (DeepRL @ NeurIPS), 2017
Theses
Preprints
Hierarchical Variational Imitation Learning of Control Programs
Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, and Ion Stoica
arXiv:1912.12612, 2019