Satinder P. Singh

Publication Activity (10 Years)

Years Active: 1991-2021
Publications (10 Years): 36

Top Venues

CoRR

AAAI

AAMAS

IJCAI

Publications

David Silver, Satinder P. Singh, Doina Precup, Richard S. Sutton
Reward is enough. Artif. Intell. 299 (2021)
Shun Zhang, Edmund H. Durfee, Satinder P. Singh
Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes. AAAI (2020)
Qi Zhang, Edmund H. Durfee, Satinder P. Singh
Semantics and algorithms for trustworthy commitment achievement under model uncertainty. Auton. Agents Multi Agent Syst. 34 (1) (2020)
Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder P. Singh
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles. AISTATS (2020)
Qi Zhang, Edmund H. Durfee, Satinder P. Singh
Computational Strategies for the Trustworthy Pursuit and the Safe Modeling of Probabilistic Maintenance Commitments. AISafety@IJCAI (2019)
Qi Zhang, Richard L. Lewis, Satinder P. Singh, Edmund H. Durfee
Learning to Communicate and Solve Visual Blocks-World Tasks. AAAI (2019)
Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder P. Singh
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles. CoRR (2019)
Shun Zhang, Edmund H. Durfee, Satinder P. Singh
Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes. IJCAI (2018)
Qi Zhang, Edmund H. Durfee, Satinder P. Singh
Challenges in the Trustworthy Pursuit of Maintenance Commitments Under Uncertainty. TRUST@AAMAS (2018)
Shun Zhang, Edmund H. Durfee, Satinder P. Singh
On Querying for Safe Optimality in Factored Markov Decision Processes. AAMAS (2018)
Nan Jiang, Alex Kulesza, Satinder P. Singh
Completing State Representations using Spectral Learning. NeurIPS (2018)
Aditya Modi, Nan Jiang, Satinder P. Singh, Ambuj Tewari
Markov Decision Processes with Continuous Side Information. ALT (2018)
Thanh Hai Nguyen, Mason Wright, Michael P. Wellman, Satinder P. Singh
Multistage Attack Graph Security Games: Heuristic Strategies, with Empirical Game-Theoretic Analysis. Secur. Commun. Networks 2018 (2018)
Kareem Amin, Nan Jiang, Satinder P. Singh
Repeated Inverse Reinforcement Learning. NIPS (2017)
Junhyuk Oh, Satinder P. Singh, Honglak Lee, Pushmeet Kohli
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning. ICML (2017)
Aditya Modi, Nan Jiang, Satinder P. Singh, Ambuj Tewari
Markov Decision Processes with Continuous Side Information. CoRR (2017)
Thanh Nguyen, Michael P. Wellman, Satinder P. Singh
A Stackelberg Game Model for Botnet Data Exfiltration. GameSec (2017)
Shun Zhang, Edmund H. Durfee, Satinder P. Singh
Approximately-Optimal Queries for Planning in Reward-Uncertain Markov Decision Processes. ICAPS (2017)
Thanh Hong Nguyen, Michael P. Wellman, Satinder P. Singh
A Stackelberg Game Model for Botnet Traffic Exfiltration. AAAI Workshops (2017)
Kareem Amin, Nan Jiang, Satinder P. Singh
Repeated Inverse Reinforcement Learning. CoRR (2017)
Qi Zhang, Satinder P. Singh, Edmund H. Durfee
Minimizing Maximum Regret in Commitment Constrained Sequential Decision Making. CoRR (2017)
Qi Zhang, Satinder P. Singh, Edmund H. Durfee
Minimizing Maximum Regret in Commitment Constrained Sequential Decision Making. ICAPS (2017)
Junhyuk Oh, Satinder P. Singh, Honglak Lee, Pushmeet Kohli
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning. CoRR (2017)
Junhyuk Oh, Valliappa Chockalingam, Satinder P. Singh, Honglak Lee
Control of Memory, Active Perception, and Action in Minecraft. CoRR (2016)
Edmund H. Durfee, Satinder P. Singh
On the Trustworthy Fulfillment of Commitments. TRUST@AAMAS (2016)
Qi Zhang, Edmund H. Durfee, Satinder P. Singh, Anna Chen, Stefan J. Witwicki
Commitment Semantics for Sequential Decision Making under Reward Uncertainty. IJCAI (2016)
Xiaoxiao Guo, Satinder P. Singh, Richard L. Lewis, Honglak Lee
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games. CoRR (2016)
Nan Jiang, Satinder P. Singh, Ambuj Tewari
On Structural Properties of MDPs that Bound Loss Due to Shallow Planning. IJCAI (2016)
Xiaoxiao Guo, Satinder P. Singh, Richard L. Lewis, Honglak Lee
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games. IJCAI (2016)
Alexander Van Esbroeck, Landon Smith, Zeeshan Syed, Satinder P. Singh, Zahi N. Karam
Multi-task seizure detection: addressing intra-patient variation in seizure morphologies. Mach. Learn. 102 (3) (2016)
Nan Jiang, Alex Kulesza, Satinder P. Singh, Richard L. Lewis
The Dependence of Effective Planning Horizon on Model Accuracy. IJCAI (2016)
Kareem Amin, Michael P. Wellman, Satinder P. Singh
Gradient Methods for Stackelberg Games. UAI (2016)
Nan Jiang, Alex Kulesza, Satinder P. Singh
Improving Predictive State Representations via Gradient Descent. AAAI (2016)
Edmund H. Durfee, Satinder P. Singh
On the Trustworthy Fulfillment of Commitments. AAMAS Workshops (Selected Papers) (2016)
Kareem Amin, Satinder P. Singh
Towards Resolving Unidentifiability in Inverse Reinforcement Learning. CoRR (2016)
Junhyuk Oh, Valliappa Chockalingam, Satinder P. Singh, Honglak Lee
Control of Memory, Active Perception, and Action in Minecraft. ICML (2016)
Alex Kulesza, Nan Jiang, Satinder P. Singh
Low-Rank Spectral Learning with Weighted Loss Functions. AISTATS (2015)
Edmund H. Durfee, Satinder P. Singh
Commitment Semantics for Sequential Decision Making Under Reward Uncertainty. AAAI Fall Symposia (2015)
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder P. Singh
Action-Conditional Video Prediction using Deep Networks in Atari Games. NIPS (2015)
Alex Kulesza, Nan Jiang, Satinder P. Singh
Spectral Learning of Predictive State Representations with Insufficient Statistics. AAAI (2015)
Nan Jiang, Alex Kulesza, Satinder P. Singh
Abstraction Selection in Model-based Reinforcement Learning. ICML (2015)
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder P. Singh
Action-Conditional Video Prediction using Deep Networks in Atari Games. CoRR (2015)
Nan Jiang, Alex Kulesza, Satinder P. Singh, Richard L. Lewis
The Dependence of Effective Planning Horizon on Model Accuracy. AAMAS (2015)
Yevgeniy Vorobeychik, Bo An, Milind Tambe, Satinder P. Singh
Computing Solutions in Infinite-Horizon Discounted Adversarial Patrolling Games. ICAPS (2014)
Alex Kulesza, N. Raj Rao, Satinder P. Singh
Low-Rank Spectral Learning. AISTATS (2014)
Xiaoxiao Guo, Satinder P. Singh, Honglak Lee, Richard L. Lewis, Xiaoshi Wang
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning. NIPS (2014)
Michael Shvartsman, Richard L. Lewis, Satinder P. Singh
Computationally Rational Saccadic Control: An Explanation of Spillover Effects Based on Sampling from Noisy Perception and Memory. CMCL@ACL (2014)
Alexander Van Esbroeck, Satinder P. Singh, Ilan Rubinfeld, Zeeshan Syed
Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization. AAAI (2014)
Bingyao Liu, Satinder P. Singh, Richard L. Lewis, Shiyin Qin
Optimal Rewards for Cooperative Agents. IEEE Trans. Auton. Ment. Dev. 6 (4) (2014)
Nan Jiang, Satinder P. Singh, Richard L. Lewis
Improving UCT planning via approximate homomorphisms. AAMAS (2014)
Chih-Chun Chia, James Blum, Zahi N. Karam, Satinder P. Singh, Zeeshan Syed
Predicting Postoperative Atrial Fibrillation from Independent ECG Components. AAAI (2014)
Andrew Howes, Richard L. Lewis, Satinder P. Singh
Utility Maximization and Bounds on Human Information Processing. Top. Cogn. Sci. 6 (2) (2014)
Erik Talvitie, Satinder P. Singh
Learning to Make Predictions In Partially Observable Environments Without a Generative Model. CoRR (2014)
Robert Cohn, Satinder P. Singh, Edmund H. Durfee
Characterizing EVOI-Sufficient k-Response Query Sets in Decision Problems. AISTATS (2014)
Richard L. Lewis, Andrew Howes, Satinder P. Singh
Computational Rationality: Linking Mechanism and Behavior Through Bounded Utility Maximization. Top. Cogn. Sci. 6 (2) (2014)
Zahi N. Karam, Emily Mower Provost, Satinder P. Singh, Jennifer Montgomery, Christopher Archer, Gloria Harrington, Melvin G. McInnis
Ecologically valid long-term mood monitoring of individuals with bipolar disorder using speech. ICASSP (2014)
David A. McAllester, Satinder P. Singh
Approximate Planning for Factored POMDPs using Belief State Simplification CoRR (2013)
Satinder P. Singh, Michael J. Kearns, Yishay Mansour
Nash Convergence of Gradient Dynamics in Iterated General-Sum Games CoRR (2013)
Yishay Mansour, Satinder P. Singh
On the Complexity of Policy Iteration CoRR (2013)
Xiaoxiao Guo, Satinder P. Singh, Richard L. Lewis
Reward Mapping for Transfer in Long-Lived Agents. NIPS (2013)
Michael J. Kearns, Yishay Mansour, Satinder P. Singh
Fast Planning in Stochastic Games CoRR (2013)
Michael Feary, Dorrit Billman, Xiuli Chen, Andrew Howes, Richard L. Lewis, Lance Sherry, Satinder P. Singh
Linking Context to Evaluation in the Design of Safety Critical Interfaces. HCI (1) (2013)
Richard L. Lewis, Michael Shvartsman, Satinder P. Singh
The Adaptive Nature of Eye Movements in Linguistic Tasks: How Payoff and Architecture Shape Speed-Accuracy Trade-Offs. Top. Cogn. Sci. 5 (3) (2013)
Michael J. Kearns, Michael L. Littman, Satinder P. Singh
Graphical Models for Game Theory CoRR (2013)
Quang Duong, Michael P. Wellman, Satinder P. Singh
Knowledge Combination in Graphical Multiagent Model CoRR (2012)
Tuomas Sandholm, Satinder P. Singh
Lossy stochastic game abstraction with bounds. EC (2012)
Quang Duong, Michael P. Wellman, Satinder P. Singh, Michael J. Kearns
Learning and predicting dynamic networked behavior with graphical multiagent models. AAMAS (2012)
Yevgeniy Vorobeychik, Satinder P. Singh
Computing Stackelberg Equilibria in Discounted Stochastic Games. AAAI (2012)
Ruggiero Cavallo, David C. Parkes, Satinder P. Singh
Optimal Coordinated Planning Amongst Self-Interested Agents with Private State. CoRR (2012)
Bo An, David Kempe, Christopher Kiekintveld, Eric Shieh, Satinder P. Singh, Milind Tambe, Yevgeniy Vorobeychik
Security Games with Limited Surveillance. AAAI (2012)
Bingyao Liu, Satinder P. Singh, Richard L. Lewis, Shiyin Qin
Optimal rewards in multiagent teams. ICDL-EPIROB (2012)
Matthew R. Rudary, Satinder P. Singh, David Wingate
Predictive Linear-Gaussian Models of Stochastic Dynamical Systems CoRR (2012)
Satinder P. Singh, Michael R. James, Matthew R. Rudary
Predictive State Representations: A New Theory for Modeling Dynamical Systems CoRR (2012)
Stefan J. Witwicki, Inn-Tung Chen, Edmund H. Durfee, Satinder P. Singh
Planning and evaluating multiagent influences under reward uncertainty. AAMAS (2012)
Jonathan Sorg, Satinder P. Singh, Richard L. Lewis
Variance-Based Rewards for Approximate Bayesian Reinforcement Learning CoRR (2012)
Noa Agmon, Vikas Agrawal, David W. Aha, Yiannis Aloimonos, Donagh Buckley, Prashant Doshi, Christopher W. Geib, Floriana Grasso, Nancy L. Green, Benjamin Johnston, Burt Kaliski, Christopher Kiekintveld, Edith Law, Henry Lieberman, Ole J. Mengshoel, Ted Metzler, Joseph Modayil, Douglas W. Oard, Nilufer Onder, Barry O'Sullivan, Katerina Pastra, Doina Precup, Sowmya Ramachandran, Chris Reed, Sanem Sariel Talay, Ted Selker, Lokendra Shastri, Stephen F. Smith, Satinder P. Singh, Siddharth Srivastava, Gita Sukthankar, David C. Uthus, Mary-Anne Williams
Reports of the AAAI 2011 Conference Workshops. AI Mag. 33 (1) (2012)
Jeshua Bratman, Satinder P. Singh, Jonathan Sorg, Richard L. Lewis
Strong mitigation: nesting search for good policies within search for good reward. AAMAS (2012)
Bo An, David Kempe, Christopher Kiekintveld, Eric Anyung Shieh, Satinder P. Singh, Milind Tambe, Yevgeniy Vorobeychik
Security Games with Limited Surveillance: An Initial Report. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health (2012)
Erik Talvitie, Satinder P. Singh
Learning to Make Predictions In Partially Observable Environments Without a Generative Model. J. Artif. Intell. Res. 42 (2011)
Robert Cohn, Edmund H. Durfee, Satinder P. Singh
Comparing action-query strategies in semi-autonomous agents. AAMAS (2011)
Jonathan Sorg, Satinder P. Singh, Richard L. Lewis
Optimal Rewards versus Leaf-Evaluation Heuristics in Planning Agents. AAAI (2011)
Michael J. Kearns, Michael L. Littman, Satinder P. Singh, Peter Stone
ATTac-2000: An Adaptive Autonomous Bidding Agent CoRR (2011)
Michael J. Kearns, Diane J. Litman, Satinder P. Singh, Marilyn A. Walker
Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System CoRR (2011)
Robert Cohn, Edmund H. Durfee, Satinder P. Singh
Comparing Action-Query Strategies in Semi-Autonomous Agents. AAAI (2011)
Quang Duong, Michael P. Wellman, Satinder P. Singh
Modeling Information Diffusion in Networks with Unobserved Links. SocialCom/PASSAT (2011)
Satinder P. Singh, Richard L. Lewis, Andrew G. Barto, Jonathan Sorg
Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective. IEEE Trans. Auton. Ment. Dev. 2 (2) (2010)
Jonathan Sorg, Satinder P. Singh
Linear options. AAMAS (2010)
Jonathan Sorg, Satinder P. Singh, Richard L. Lewis
Internal Rewards Mitigate Agent Boundedness. ICML (2010)
David C. Parkes, Ruggiero Cavallo, Florin Constantin, Satinder P. Singh
Dynamic Incentive Mechanisms. AI Mag. 31 (4) (2010)
Quang Duong, Michael P. Wellman, Satinder P. Singh, Yevgeniy Vorobeychik
History-dependent graphical multiagent models. AAMAS (2010)
Jonathan Sorg, Satinder P. Singh, Richard L. Lewis
Reward Design via Online Gradient Ascent. NIPS (2010)
Robert Cohn, Michael Maxim, Edmund H. Durfee, Satinder P. Singh
Selecting Operator Queries Using Expected Myopic Gain. IAT (2010)
Jonathan Sorg, Satinder P. Singh, Richard L. Lewis
Variance-Based Rewards for Approximate Bayesian Reinforcement Learning. UAI (2010)
Michael R. James, Satinder P. Singh
SarsaLandmark: an algorithm for learning in POMDPs with landmarks. AAMAS (1) (2009)
Quang Duong, Yevgeniy Vorobeychik, Satinder P. Singh, Michael P. Wellman
Learning Graphical Game Models. IJCAI (2009)
Jonathan Sorg, Satinder P. Singh
Transfer via soft homomorphisms. AAMAS (2) (2009)
Erik Talvitie, Satinder P. Singh
Maintaining Predictions over Time without a Model. IJCAI (2009)
David Wingate, Satinder P. Singh
Efficiently learning linear-linear exponential family predictive representations of state. ICML (2008)
Quang Duong, Michael P. Wellman, Satinder P. Singh
Knowledge Combination in Graphical Multiagent Models. UAI (2008)
Erik Talvitie, Satinder P. Singh
Simple Local Models for Complex Dynamical Systems. NIPS (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Satinder P. Singh