Roy Fox

73 papers A* 13A 2B 1C 1Misc 2Journal 43Unranked 10
YearRankTypeTitle / Venue / Authors
2025 B conf
A Variational Neural Network Model of Resource-Rational Reward Encoding in Human Planning.
CogSci
Zhuojun Ying, Frederick Callaway, Roy Fox, Anastasia Kiyonaga, Marcelo G. Mattar
2025 J jnl
Adapting World Models with Latent-State Dynamics Residuals.
CoRR
JB Lanier, Kyungmin Kim, Armin Karamzade, Yifei Liu, Ankita Sinha, Kat He, Davide Corsi, Roy Fox
2025 A* conf
Explanations for Unrealizability of Infinite-State Safety Shields.
KR
Andoni Rodríguez, Irfansha Shaik, Davide Corsi, Roy Fox, César Sánchez
2025 J jnl
Explanations for Unrealizability of Infinite-State Safety Shields.
CoRR
Andoni Rodríguez, Irfansha Shaik, Davide Corsi, Roy Fox, César Sánchez
2025 J jnl
Model-Based Reinforcement Learning under Random Observation Delays.
CoRR
Armin Karamzade, Kyungmin Kim, JB Lanier, Davide Corsi, Roy Fox
2025 — conf
Realizable Continuous-Space Shields for Safe Reinforcement Learning.
L4DC
Kyungmin Kim, Davide Corsi, Andoni Rodríguez, JB Lanier, Benjami Parellada, Pierre Baldi, César Sánchez, Roy Fox
2024 J jnl
Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractions.
CoRR
Kyungmin Kim, JB Lanier, Pierre Baldi, Charless C. Fowlkes, Roy Fox
2024 J jnl
Moonwalk: Inverse-Forward Differentiation.
CoRR
Dmitrii Krylov, Armin Karamzade, Roy Fox
2024 J jnl
Realizable Continuous-Space Shields for Safe Reinforcement Learning.
CoRR
Kyungmin Kim, Davide Corsi, Andoni Rodríguez, JB Lanier, Benjami Parellada, Pierre Baldi, César Sánchez, Roy Fox
2024 J jnl
Reinforcement Learning from Delayed Observations via World Models.
RLJ
Armin Karamzade, Kyungmin Kim, Montek Kalsi, Roy Fox
2024 J jnl
Reinforcement Learning from Delayed Observations via World Models.
CoRR
Armin Karamzade, Kyungmin Kim, Montek Kalsi, Roy Fox
2024 — conf
Selective Perception: Learning Concise State Descriptions for Language Model Actors.
NAACL (Short Papers)
Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh
2024 A* conf
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills.
ICML
Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox
2024 J jnl
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills.
CoRR
Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox
2024 A* conf
Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games.
ICLR
Stephen Marcus McAleer, JB Lanier, Kevin A. Wang, Pierre Baldi, Tuomas Sandholm, Roy Fox
2024 J jnl
Verification-Guided Shielding for Deep Reinforcement Learning.
RLJ
Davide Corsi, Guy Amir, Andoni Rodríguez, Guy Katz, César Sánchez, Roy Fox
2024 J jnl
Verification-Guided Shielding for Deep Reinforcement Learning.
CoRR
Davide Corsi, Guy Amir, Andoni Rodríguez, César Sánchez, Guy Katz, Roy Fox
2023 A* conf
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling.
ICML
Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox
2023 J jnl
Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling.
CoRR
Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox
2023 A* conf
Learning to Design Analog Circuits to Meet Threshold Specifications.
ICML
Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox
2023 J jnl
Learning to Design Analog Circuits to Meet Threshold Specifications.
CoRR
Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox
2023 J jnl
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors.
CoRR
Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh
2022 J jnl
Anytime PSRO for Two-Player Zero-Sum Games.
CoRR
Stephen McAleer, Kevin Wang, John B. Lanier, Marc Lanctot, Pierre Baldi, Tuomas Sandholm, Roy Fox
2022 J jnl
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments.
CoRR
John B. Lanier, Stephen McAleer, Pierre Baldi, Roy Fox
2022 A conf
Independent Natural Policy Gradient always converges in Markov Potential Games.
AISTATS
Roy Fox, Stephen M. McAleer, Will Overman, Ioannis Panageas
2022 J jnl
Learning to Query Internet Text for Informing Reinforcement Learning Agents.
CoRR
Kolby Nottingham, Alekhya Pyla, Sameer Singh, Roy Fox
2022 A* conf
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks.
ICML
Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox
2022 J jnl
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks.
CoRR
Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox
2022 J jnl
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games.
CoRR
Stephen McAleer, John B. Lanier, Kevin A. Wang, Pierre Baldi, Roy Fox, Tuomas Sandholm
2021 J jnl
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks.
CoRR
Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, Pierre Baldi
2021 J jnl
Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning.
CoRR
Dailin Hu, Pieter Abbeel, Roy Fox
2021 J jnl
Improving Social Welfare While Preserving Autonomy via a Pareto Mediator.
CoRR
Stephen McAleer, John B. Lanier, Michael Dennis, Pierre Baldi, Roy Fox
2021 J jnl
Independent Natural Policy Gradient Always Converges in Markov Potential Games.
CoRR
Roy Fox, Stephen McAleer, Will Overman, Ioannis Panageas
2021 J jnl
Modular Framework for Visuomotor Language Grounding.
CoRR
Kolby Nottingham, Litian Liang, Daeyun Shin, Charless C. Fowlkes, Roy Fox, Sameer Singh
2021 J jnl
Target Entropy Annealing for Discrete Soft Actor-Critic.
CoRR
Yaosheng Xu, Dailin Hu, Litian Liang, Stephen McAleer, Pieter Abbeel, Roy Fox
2021 J jnl
Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates.
CoRR
Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox
2021 A* conf
XDO: A Double Oracle Algorithm for Extensive-Form Games.
NeurIPS
Stephen McAleer, John B. Lanier, Kevin A. Wang, Pierre Baldi, Roy Fox
2021 J jnl
XDO: A Double Oracle Algorithm for Extensive-Form Games.
CoRR
Stephen McAleer, John B. Lanier, Pierre Baldi, Roy Fox
2020 A* conf
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games.
NeurIPS
Stephen McAleer, John B. Lanier, Roy Fox, Pierre Baldi
2020 J jnl
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games.
CoRR
Stephen McAleer, John B. Lanier, Roy Fox, Pierre Baldi
2019 J jnl
AutoPandas: neural-backed generators for program synthesis.
Proc. ACM Program. Lang.
Rohan Bavishi, Caroline Lemieux, Roy Fox, Koushik Sen, Ion Stoica
2019 J jnl
Hierarchical Variational Imitation Learning of Control Programs.
CoRR
Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, Ion Stoica
2019 — conf
Multi-Task Hierarchical Imitation Learning for Home Automation.
CASE
Roy Fox, Ron Berenstein, Ion Stoica, Ken Goldberg
2018 — conf
Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations.
CASE
Jonathan Lee, Michael Laskey, Roy Fox, Ken Goldberg
2018 J jnl
Derivative-Free Failure Avoidance Control for Manipulation using Learned Support Constraints.
CoRR
Jonathan Lee, Michael Laskey, Roy Fox, Ken Goldberg
2018 A* conf
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure.
ICRA
Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John F. Canny, Ken Goldberg
2018 C conf
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models.
WAFR
Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon
2018 J jnl
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models.
CoRR
Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon
2018 — conf
Parametrized Hierarchical Procedures for Neural Programming.
ICLR (Poster)
Roy Fox, Richard Shin, Sanjay Krishnan, Ken Goldberg, Dawn Song, Ion Stoica
2018 A* conf
RLlib: Abstractions for Distributed Reinforcement Learning.
ICML
Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
2018 A* conf
Robustly Adjusting Indoor Drip Irrigation Emitters with the Toyota HSR Robot.
ICRA
Ron Berenstein, Roy Fox, Stephen McKinley, Stefano Carpin, Ken Goldberg
2017 — conf
An algorithm and user study for teaching bilateral manipulation via iterated best response demonstrations.
CASE
Carolyn Chen, Sanjay Krishnan, Michael Laskey, Roy Fox, Ken Goldberg
2017 Misc conf
DART: Noise Injection for Robust Imitation Learning.
CoRL
Michael Laskey, Jonathan Lee, Roy Fox, Anca D. Dragan, Ken Goldberg
2017 Misc conf
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations.
CoRL
Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg
2017 J jnl
DDCO: Discovery of Deep Continuous Options forRobot Learning from Demonstrations.
CoRR
Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg
2017 J jnl
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure.
CoRR
Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John F. Canny, Ken Goldberg
2017 J jnl
Iterative Noise Injection for Scalable Imitation Learning.
CoRR
Michael Laskey, Jonathan Lee, Wesley Yu-Shu Hsieh, Richard Liaw, Jeffrey Mahler, Roy Fox, Ken Goldberg
2017 J jnl
Multi-Level Discovery of Deep Options.
CoRR
Roy Fox, Sanjay Krishnan, Ion Stoica, Ken Goldberg
2017 J jnl
Ray RLLib: A Composable and Scalable Reinforcement Learning Library.
CoRR
Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Joseph Gonzalez, Ken Goldberg, Ion Stoica
2017 — conf
Statistical data cleaning for deep learning of automation tasks from demonstrations.
CASE
Caleb Chuck, Michael Laskey, Sanjay Krishnan, Ruta Joshi, Roy Fox, Ken Goldberg
2016 — —
Information-Theoretic Methods for Planning and Learning in Partially Observable Markov Decision Processes (שער נוסף בעברית: שיטות תורת-האינפורמציה לתכנון ולמידה בתהליכי החלטה מרקוב נצפים חלקית.).
Roy Fox
2016 J jnl
Information-Theoretic Methods for Planning and Learning in Partially Observable Markov Decision Processes.
CoRR
Roy Fox
2016 J jnl
Minimum-Information LQG Control - Part I: Memoryless Controllers.
CoRR
Roy Fox, Naftali Tishby
2016 J jnl
Minimum-Information LQG Control - Part II: Retentive Controllers.
CoRR
Roy Fox, Naftali Tishby
2016 — conf
Minimum-information LQG control Part II: Retentive controllers.
CDC
Roy Fox, Naftali Tishby
2016 — conf
Minimum-information LQG control part I: Memoryless controllers.
CDC
Roy Fox, Naftali Tishby
2016 J jnl
Principled Option Learning in Markov Decision Processes.
CoRR
Roy Fox, Michal Moshkovitz, Naftali Tishby
2016 A conf
Taming the Noise in Reinforcement Learning via Soft Updates.
UAI
Roy Fox, Ari Pakman, Naftali Tishby
2015 J jnl
G-Learning: Taming the Noise in Reinforcement Learning via Soft Updates.
CoRR
Roy Fox, Ari Pakman, Naftali Tishby
2015 J jnl
Optimal Selective Attention in Reactive Agents.
CoRR
Roy Fox, Naftali Tishby
2013 — conf
A multi-agent control framework for co-adaptation in brain-computer interfaces.
NIPS
Josh Merel, Roy Fox, Tony Jebara, Liam Paninski
2012 A* conf
Bounded Planning in Passive POMDPs.
ICML
Roy Fox, Naftali Tishby
2007 A* conf
A Reinforcement Learning Algorithm with Polynomial Interaction Complexity for Only-Costly-Observable MDPs.
AAAI
Roy Fox, Moshe Tennenholtz