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2020 – today
- 2024
[c26]Stephen Marcus McAleer, JB Lanier, Kevin A. Wang, Pierre Baldi, Tuomas Sandholm, Roy Fox:
Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games. ICLR 2024- [c25]Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox:
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills. ICML 2024 - [c24]Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh:
Selective Perception: Learning Concise State Descriptions for Language Model Actors. NAACL (Short Papers) 2024: 327-341 - [i36]Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox:
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills. CoRR abs/2402.03244 (2024) - [i35]Dmitrii Krylov, Armin Karamzade, Roy Fox:
Moonwalk: Inverse-Forward Differentiation. CoRR abs/2402.14212 (2024) - [i34]Armin Karamzade, Kyungmin Kim, Montek Kalsi, Roy Fox:
Reinforcement Learning from Delayed Observations via World Models. CoRR abs/2403.12309 (2024) - [i33]Davide Corsi, Guy Amir, Andoni Rodriguez, Cesar Sanchez, Guy Katz, Roy Fox:
Verification-Guided Shielding for Deep Reinforcement Learning. CoRR abs/2406.06507 (2024) - [i32]Kyungmin Kim, Davide Corsi, Andoni Rodriguez, JB Lanier, Benjami Parellada, Pierre Baldi, Cesar Sanchez, Roy Fox:
Realizable Continuous-Space Shields for Safe Reinforcement Learning. CoRR abs/2410.02038 (2024) - 2023
- [c23]Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox:
Learning to Design Analog Circuits to Meet Threshold Specifications. ICML 2023: 17858-17873 - [c22]Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox:
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling. ICML 2023: 26311-26325 - [i31]Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox:
Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling. CoRR abs/2301.12050 (2023) - [i30]Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh:
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors. CoRR abs/2307.11922 (2023) - [i29]Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox:
Learning to Design Analog Circuits to Meet Threshold Specifications. CoRR abs/2307.13861 (2023) - 2022
- [c21]Roy Fox, Stephen M. McAleer, Will Overman, Ioannis Panageas:
Independent Natural Policy Gradient always converges in Markov Potential Games. AISTATS 2022: 4414-4425 - [c20]Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox:
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks. ICML 2022: 13285-13301 - [i28]Stephen McAleer, Kevin Wang, John B. Lanier, Marc Lanctot, Pierre Baldi, Tuomas Sandholm, Roy Fox:
Anytime PSRO for Two-Player Zero-Sum Games. CoRR abs/2201.07700 (2022) - [i27]Kolby Nottingham, Alekhya Pyla, Sameer Singh, Roy Fox:
Learning to Query Internet Text for Informing Reinforcement Learning Agents. CoRR abs/2205.13079 (2022) - [i26]Stephen McAleer, John B. Lanier, Kevin A. Wang, Pierre Baldi, Roy Fox, Tuomas Sandholm:
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games. CoRR abs/2207.06541 (2022) - [i25]John B. Lanier, Stephen McAleer, Pierre Baldi, Roy Fox:
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments. CoRR abs/2207.09597 (2022) - [i24]Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox:
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks. CoRR abs/2209.07670 (2022) - 2021
- [c19]Stephen McAleer, John B. Lanier, Kevin A. Wang, Pierre Baldi, Roy Fox:
XDO: A Double Oracle Algorithm for Extensive-Form Games. NeurIPS 2021: 23128-23139 - [i23]Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, Pierre Baldi:
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks. CoRR abs/2102.04518 (2021) - [i22]Stephen McAleer, John B. Lanier, Pierre Baldi, Roy Fox:
XDO: A Double Oracle Algorithm for Extensive-Form Games. CoRR abs/2103.06426 (2021) - [i21]Stephen McAleer, John B. Lanier, Michael Dennis, Pierre Baldi, Roy Fox:
Improving Social Welfare While Preserving Autonomy via a Pareto Mediator. CoRR abs/2106.03927 (2021) - [i20]Kolby Nottingham, Litian Liang, Daeyun Shin, Charless C. Fowlkes, Roy Fox, Sameer Singh:
Modular Framework for Visuomotor Language Grounding. CoRR abs/2109.02161 (2021) - [i19]Roy Fox, Stephen McAleer, Will Overman, Ioannis Panageas:
Independent Natural Policy Gradient Always Converges in Markov Potential Games. CoRR abs/2110.10614 (2021) - [i18]Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox:
Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates. CoRR abs/2110.14818 (2021) - [i17]Dailin Hu, Pieter Abbeel, Roy Fox:
Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning. CoRR abs/2111.14204 (2021) - [i16]Yaosheng Xu, Dailin Hu, Litian Liang, Stephen McAleer, Pieter Abbeel, Roy Fox:
Target Entropy Annealing for Discrete Soft Actor-Critic. CoRR abs/2112.02852 (2021) - 2020
- [c18]Stephen McAleer, John B. Lanier, Roy Fox, Pierre Baldi:
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games. NeurIPS 2020 - [i15]Stephen McAleer, John B. Lanier, Roy Fox, Pierre Baldi:
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games. CoRR abs/2006.08555 (2020)
2010 – 2019
- 2019
- [j1]Rohan Bavishi, Caroline Lemieux, Roy Fox, Koushik Sen, Ion Stoica:
AutoPandas: neural-backed generators for program synthesis. Proc. ACM Program. Lang. 3(OOPSLA): 168:1-168:27 (2019) - [c17]Roy Fox, Ron Berenstein, Ion Stoica, Ken Goldberg
:
Multi-Task Hierarchical Imitation Learning for Home Automation. CASE 2019: 1-8 - [i14]Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, Ion Stoica:
Hierarchical Variational Imitation Learning of Control Programs. CoRR abs/1912.12612 (2019) - 2018
- [c16]Jonathan Lee, Michael Laskey, Roy Fox, Ken Goldberg:
Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations. CASE 2018: 270-277 - [c15]Roy Fox, Richard Shin, Sanjay Krishnan, Ken Goldberg, Dawn Song, Ion Stoica:
Parametrized Hierarchical Procedures for Neural Programming. ICLR (Poster) 2018 - [c14]Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael I. Jordan, Ion Stoica:
RLlib: Abstractions for Distributed Reinforcement Learning. ICML 2018: 3059-3068 - [c13]Ron Berenstein, Roy Fox, Stephen McKinley, Stefano Carpin, Ken Goldberg:
Robustly Adjusting Indoor Drip Irrigation Emitters with the Toyota HSR Robot. ICRA 2018: 2236-2243 - [c12]Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John F. Canny, Ken Goldberg:
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure. ICRA 2018: 6651-6658 - [c11]Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon:
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. WAFR 2018: 196-211 - [i13]Jonathan Lee, Michael Laskey, Roy Fox, Ken Goldberg:
Derivative-Free Failure Avoidance Control for Manipulation using Learned Support Constraints. CoRR abs/1801.10321 (2018) - [i12]Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon:
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. CoRR abs/1811.07489 (2018) - 2017
- [c10]Carolyn Chen, Sanjay Krishnan, Michael Laskey, Roy Fox, Ken Goldberg:
An algorithm and user study for teaching bilateral manipulation via iterated best response demonstrations. CASE 2017: 151-158 - [c9]Caleb Chuck, Michael Laskey, Sanjay Krishnan, Ruta Joshi, Roy Fox, Ken Goldberg:
Statistical data cleaning for deep learning of automation tasks from demonstrations. CASE 2017: 1142-1149 - [c8]Michael Laskey, Jonathan Lee, Roy Fox, Anca D. Dragan, Ken Goldberg:
DART: Noise Injection for Robust Imitation Learning. CoRL 2017: 143-156 - [c7]Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg:
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations. CoRL 2017: 418-437 - [i11]Roy Fox, Sanjay Krishnan, Ion Stoica, Ken Goldberg:
Multi-Level Discovery of Deep Options. CoRR abs/1703.08294 (2017) - [i10]Michael Laskey, Jonathan Lee, Wesley Yu-Shu Hsieh, Richard Liaw, Jeffrey Mahler, Roy Fox, Ken Goldberg:
Iterative Noise Injection for Scalable Imitation Learning. CoRR abs/1703.09327 (2017) - [i9]Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John F. Canny, Ken Goldberg:
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure. CoRR abs/1709.06668 (2017) - [i8]Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg:
DDCO: Discovery of Deep Continuous Options forRobot Learning from Demonstrations. CoRR abs/1710.05421 (2017) - [i7]Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Joseph Gonzalez, Ken Goldberg, Ion Stoica:
Ray RLLib: A Composable and Scalable Reinforcement Learning Library. CoRR abs/1712.09381 (2017) - 2016
- [b1]Roy Fox:
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.). Hebrew University of Jerusalem, Israel, 2016 - [c6]Roy Fox, Naftali Tishby:
Minimum-information LQG control Part II: Retentive controllers. CDC 2016: 5603-5609 - [c5]Roy Fox, Naftali Tishby:
Minimum-information LQG control part I: Memoryless controllers. CDC 2016: 5610-5616 - [c4]Roy Fox, Ari Pakman, Naftali Tishby:
Taming the Noise in Reinforcement Learning via Soft Updates. UAI 2016 - [i6]Roy Fox, Naftali Tishby:
Minimum-Information LQG Control - Part I: Memoryless Controllers. CoRR abs/1606.01946 (2016) - [i5]Roy Fox, Naftali Tishby:
Minimum-Information LQG Control - Part II: Retentive Controllers. CoRR abs/1606.01947 (2016) - [i4]Roy Fox, Michal Moshkovitz, Naftali Tishby:
Principled Option Learning in Markov Decision Processes. CoRR abs/1609.05524 (2016) - [i3]Roy Fox:
Information-Theoretic Methods for Planning and Learning in Partially Observable Markov Decision Processes. CoRR abs/1609.07672 (2016) - 2015
- [i2]Roy Fox, Ari Pakman, Naftali Tishby:
G-Learning: Taming the Noise in Reinforcement Learning via Soft Updates. CoRR abs/1512.08562 (2015) - [i1]Roy Fox, Naftali Tishby:
Optimal Selective Attention in Reactive Agents. CoRR abs/1512.08575 (2015) - 2013
- [c3]Josh Merel, Roy Fox, Tony Jebara, Liam Paninski:
A multi-agent control framework for co-adaptation in brain-computer interfaces. NIPS 2013: 2841-2849 - 2012
- [c2]Roy Fox, Naftali Tishby:
Bounded Planning in Passive POMDPs. ICML 2012
2000 – 2009
- 2007
- [c1]Roy Fox, Moshe Tennenholtz:
A Reinforcement Learning Algorithm with Polynomial Interaction Complexity for Only-Costly-Observable MDPs. AAAI 2007: 553-558
Coauthor Index
aka: Ken Goldberg
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last updated on 2024-11-11 21:30 CET by the dblp team
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