Selected Publications

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


Conferences

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

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

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


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

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


Preprints