Conferences

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

A Multi-Agent Control Framework for Co-Adaptation in Brain-Computer Interfaces

Josh Merel*, Roy Fox*, Tony Jebara, and Liam Paninski

27th Annual Conference on Neural Information Processing Systems (NIPS), 2013

A Reinforcement Learning Algorithm with Polynomial Interaction Complexity for Only-Costly-Observable MDPs

Roy Fox and Moshe Tennenholtz

22nd Conference on Artificial Intelligence (AAAI), 2007


Symposia and Workshops

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 @ NIPS), 2017


Theses


Preprints