All Publications


Conferences

Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling

Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, and Roy Fox

40th International Conference on Machine Learning (ICML), 2023


Learning to Design Analog Circuits to Meet Threshold Specifications

Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, and Roy Fox

40th International Conference on Machine Learning (ICML), 2023


Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks

Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, and Roy Fox

39th International Conference on Machine Learning (ICML), 2022


Learning to Query Internet Text for Informing Reinforcement Learning Agents

Kolby Nottingham, Alekhya Pyla, Sameer Singh, and Roy Fox

Reinforcement Learning and Decision Making (RLDM), 2022


Independent Natural Policy Gradient Always Converges in Markov Potential Games

Roy Fox, Stephen McAleer, William Overman, and Ioannis Panageas

25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022


XDO: A Double Oracle Algorithm for Extensive-Form Games

Stephen McAleer, JB Lanier, Kevin Wang, Pierre Baldi, and Roy Fox

35th Conference on Neural Information Processing Systems (NeurIPS), 2021


Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games

Stephen McAleer*, JB 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


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


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


Workshops

Selective Perception: Learning Concise State Descriptions for Language Model Actors

Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, and Sameer Singh

Foundation Models for Decision Making workshop (FMDM @ NeurIPS), 2023


Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling

Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, and Roy Fox

Reincarnating Reinforcement Learning workshop (RRL @ ICLR), 2023


Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments

JB Lanier, Stephen McAleer, Pierre Baldi, and Roy Fox

Deep Reinforcement Learning workshop (DRL @ NeurIPS), 2022


Anytime PSRO for Two-Player Zero-Sum Games

Stephen McAleer, Kevin Wang, JB Lanier, Marc Lanctot, Pierre Baldi, Tuomas Sandholm, and Roy Fox

Reinforcement Learning in Games workshop (RLG @ AAAI), 2022


Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates

Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, and Roy Fox

Deep Reinforcement Learning workshop (DRL @ NeurIPS), 2021


Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning

Dailin Hu, Pieter Abbeel, and Roy Fox

Deep Reinforcement Learning workshop (DRL @ NeurIPS), 2021


Target Entropy Annealing for Discrete Soft Actor–Critic

Yaosheng Xu, Dailin Hu, Litian Liang, Stephen McAleer, Pieter Abbeel, and Roy Fox

Deep Reinforcement Learning workshop (DRL @ NeurIPS), 2021


Obtaining Approximately Admissible Heuristic Functions through Deep Reinforcement Learning and A* Search

Forest Agostinelli, Stephen McAleer, Alexander Shmakov, Roy Fox, Marco Valtorta, Biplav Srivastava, and Pierre Baldi

Bridging the Gap between AI Planning and Reinforcement Learning workshop (PRL @ ICAPS), 2021


Modular Framework for Visuomotor Language Grounding

Kolby Nottingham, Litian Liang, Daeyun Shin, Charless Fowlkes, Roy Fox, and Sameer Singh

Embodied AI workshop (EmbodiedAI @ CVPR), 2021


CFR-DO: A Double Oracle Algorithm for Extensive-Form Games

Stephen McAleer, JB Lanier, Pierre Baldi, and Roy Fox

Reinforcement Learning in Games workshop (RLG @ AAAI), 2021


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

Improving Social Welfare while Preserving Autonomy via a Pareto Mediator

Stephen McAleer, JB Lanier, Michael Dennis, Pierre Baldi, and Roy Fox

arXiv:2106.03927, 2021


A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks

Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, and Pierre Baldi

arXiv:2102.04518, 2021


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