Peter Stone - researchr alias

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2011

Multiagent Patrol Generalized to Complex Environmental ConditionsNoa Agmon, Daniel Urieli, Peter Stone. AAAI 2011: [doi]

Enforcing Liveness in Autonomous Traffic ManagementTsz-Chiu Au, Neda Shahidi, Peter Stone. AAAI 2011: [doi]

Ad Hoc Teamwork in Variations of the Pursuit DomainSamuel Barrett, Peter Stone. AAAI 2011: [doi]

Role-Based Ad Hoc TeamworkKatie Long Genter, Noa Agmon, Peter Stone. AAAI 2011: [doi]

Characterizing reinforcement learning methods through parameterized learning problemsShivaram Kalyanakrishnan, Peter Stone. ml, 84(1-2):205-247, 2011. [doi]

Comparing Agents Success against People in Security DomainsRaz Lin, Sarit Kraus, Noa Agmon, Samuel Barrett, Peter Stone. AAAI 2011: [doi]

Designing adaptive trading agentsDavid Pardoe, Peter Stone. sigecom, 10(2):37-39, 2011. [doi]

An Introduction to Intertask Transfer for Reinforcement LearningMatthew E. Taylor, Peter Stone. aim, 32(1):15-34, 2011. [doi]

2010

Convergence, Targeted Optimality, and Safety in Multiagent LearningDoran Chakraborty, Peter Stone. icml 2010: 191-198 [doi]

Online model learning in adversarial Markov decision processesDoran Chakraborty, Peter Stone. atal 2010: 1583-1584 [doi]

Generalized model learning for Reinforcement Learning on a humanoid robotTodd Hester, Michael Quinlan, Peter Stone. icra 2010: 2369-2374 [doi]

Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like ExplorationTobias Jung, Peter Stone. pkdd 2010: 601-616 [doi]

Efficient Selection of Multiple Bandit Arms: Theory and PracticeShivaram Kalyanakrishnan, Peter Stone. icml 2010: 511-518 [doi]

Combining manual feedback with subsequent MDP reward signals for reinforcement learningW. Bradley Knox, Peter Stone. atal 2010: 5-12 [doi]

Training a Tetris agent via interactive shaping: a demonstration of the TAMER frameworkW. Bradley Knox, Peter Stone. atal 2010: 1767-1768 [doi]

TacTex09: a champion bidding agent for ad auctionsDavid Pardoe, Doran Chakraborty, Peter Stone. atal 2010: 1273-1280 [doi]

Boosting for Regression TransferDavid Pardoe, Peter Stone. icml 2010: 863-870 [doi]

Adaptive Auction Mechanism Design and the Incorporation of Prior KnowledgeDavid Pardoe, Peter Stone, Maytal Saar-Tsechansky, Tayfun Keskin, Kerem Tomak. informs, 22(3):353-370, 2010. [doi]

Bringing simulation to life: A mixed reality autonomous intersectionMichael Quinlan, Tsz-Chiu Au, Jesse Zhu, Nicolae Stiurca, Peter Stone. iros 2010: 6083-6088 [doi]

MARIOnET: motion acquisition for robots through iterative online evaluative trainingAdam Setapen, Michael Quinlan, Peter Stone. atal 2010: 1435-1436 [doi]

To teach or not to teach?: decision making under uncertainty in ad hoc teamsPeter Stone, Sarit Kraus. atal 2010: 117-124 [doi]

Ad Hoc Autonomous Agent Teams: Collaboration without Pre-CoordinationPeter Stone, Gal A. Kaminka, Sarit Kraus, Jeffrey S. Rosenschein. AAAI 2010: [doi]

Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learningShimon Whiteson, Matthew E. Taylor, Peter Stone. AAMAS, 21(1):1-35, 2010. [doi]

2009

Improving particle filter performance using SSE instructionsPeter Djeu, Michael Quinlan, Peter Stone. iros 2009: 3480-3485 [doi]

A task specification language for bootstrap learningIan Fasel, Michael Quinlan, Peter Stone. atal 2009: 1169-1170 [doi]

Generalized model learning for reinforcement learning in factored domainsTodd Hester, Peter Stone. atal 2009: 717-724 [doi]

Compositional Models for Reinforcement LearningNicholas K. Jong, Peter Stone. pkdd 2009: 644-659 [doi]

Feature Selection for Value Function Approximation Using Bayesian Model SelectionTobias Jung, Peter Stone. pkdd 2009: 660-675 [doi]

Three Humanoid Soccer Platforms: Comparison and SynthesisShivaram Kalyanakrishnan, Todd Hester, Michael Quinlan, Yinon Bentor, Peter Stone. robocup 2010: 140-152 [doi]

Learning complementary multiagent behaviors: a case studyShivaram Kalyanakrishnan, Peter Stone. atal 2009: 1359-1360 [doi]

Learning Complementary Multiagent Behaviors: A Case StudyShivaram Kalyanakrishnan, Peter Stone. robocup 2010: 153-165 [doi]

An empirical analysis of value function-based and policy search reinforcement learningShivaram Kalyanakrishnan, Peter Stone. atal 2009: 749-756 [doi]

Interactively shaping agents via human reinforcement: the TAMER frameworkW. Bradley Knox, Peter Stone. kcap 2009: 9-16 [doi]

Color learning and illumination invariance on mobile robots: A surveyMohan Sridharan, Peter Stone. ras, 57(6-7):629-644, 2009. [doi]

Transfer Learning for Reinforcement Learning Domains: A SurveyMatthew E. Taylor, Peter Stone. jmlr, 10:1633-1685, 2009. [doi]

2008

Online Multiagent Learning against Memory Bounded AdversariesDoran Chakraborty, Peter Stone. pkdd 2008: 211-226 [doi]

Mitigating catastrophic failure at intersections of autonomous vehiclesKurt M. Dresner, Peter Stone. atal 2008: 1393-1396 [doi]

A Multiagent Approach to Autonomous Intersection ManagementKurt M. Dresner, Peter Stone. jair, 31:591-656, 2008. [doi]

Negative information and line observations for Monte Carlo localizationTodd Hester, Peter Stone. icra 2008: 2764-2769 [doi]

The utility of temporal abstraction in reinforcement learningNicholas K. Jong, Todd Hester, Peter Stone. atal 2008: 299-306 [doi]

Person recognition on a Segway Robot: A video of UT Austin Villa Robocup@Home 2007 finals demonstrationW. Bradley Knox, Juhyun Lee, Peter Stone. icra 2008: 1785-1786 [doi]

Domestic Interaction on a Segway BaseW. Bradley Knox, Juhyun Lee, Peter Stone. robocup 2009: 519-531 [doi]

Person tracking on a mobile robot with heterogeneous inter-characteristic feedbackJuhyun Lee, Peter Stone. icra 2008: 2577-2582 [doi]

Replacing the stop sign: unmanaged intersection control for autonomous vehiclesMark Van Middlesworth, Kurt M. Dresner, Peter Stone. atal 2008: 1413-1416 [doi]

Open Source Software: A Key Component of E-Health in Developing NationsDavid Parry, Emma Parry, Phurb Dorji, Peter Stone. ijhisi, 3(3):1-15, 2008. [doi]

Online kernel selection for Bayesian reinforcement learningJoseph Reisinger, Peter Stone, Risto Miikkulainen. icml 2008: 816-823 [doi]

Long-Term vs. Greedy Action Planning for Color Learning on a Mobile RobotMohan Sridharan, Peter Stone. visapp 2008: 682-685

Comparing Two Action Planning Approaches for Color Learning on a Mobile RobotMohan Sridharan, Peter Stone. visapp 2008: 43-52

Maximum likelihood estimation of sensor and action model functions on a mobile robotDaniel Stronger, Peter Stone. icra 2008: 2104-2109 [doi]

Polynomial Regression with Automated Degree: a Function Approximator for Autonomous AgentsDaniel Stronger, Peter Stone. ijait, 17(1):159-174, 2008. [doi]

Autonomous transfer for reinforcement learningMatthew E. Taylor, Gregory Kuhlmann, Peter Stone. atal 2008: 283-290 [doi]

Transfer Learning and Intelligence: an Argument and ApproachMatthew E. Taylor, Gregory Kuhlmann, Peter Stone. agi 2008: 326-337

Transferring Instances for Model-Based Reinforcement LearningMatthew E. Taylor, Nicholas K. Jong, Peter Stone. pkdd 2008: 488-505 [doi]

Book announcement: autonomous bidding agentsMichael P. Wellman, Amy R. Greenwald, Peter Stone. sigecom, 7(2), 2008. [doi]

CARVE: A Cognitive Agent for Resource Value EstimationJonathan Wildstrom, Peter Stone, Emmett Witchel. icac 2008: 182-191 [doi]

2007

IFSA: incremental feature-set augmentation for reinforcement learning tasksMazda Ahmadi, Matthew E. Taylor, Peter Stone. atal 2007: 186 [doi]

Instance-Based Action Models for Fast Action PlanningMazda Ahmadi, Peter Stone. robocup 2008: 1-16 [doi]

General Game Learning Using Knowledge TransferBikramjit Banerjee, Peter Stone. IJCAI 2007: 672-677 [doi]

Sharing the Road: Autonomous Vehicles Meet Human DriversKurt M. Dresner, Peter Stone. IJCAI 2007: 1263-1268 [doi]

A Neural Network-Based Approach to Robot Motion ControlUli Grasemann, Daniel Stronger, Peter Stone. robocup 2008: 480-487 [doi]

Model-based function approximation in reinforcement learningNicholas K. Jong, Peter Stone. atal 2007: 95 [doi]

Model-Based Exploration in Continuous State SpacesNicholas K. Jong, Peter Stone. sara 2007: 258-272 [doi]

Batch reinforcement learning in a complex domainShivaram Kalyanakrishnan, Peter Stone. atal 2007: 94 [doi]

Model-Based Reinforcement Learning in a Complex DomainShivaram Kalyanakrishnan, Peter Stone, Yaxin Liu. robocup 2008: 171-183 [doi]

Graph-Based Domain Mapping for Transfer Learning in General GamesGregory Kuhlmann, Peter Stone. ecml 2007: 188-200 [doi]

Adapting Price Predictions in TAC SCMDavid Pardoe, Peter Stone. atal 2009: 30-45 [doi]

Adapting in agent-based markets: a study from TAC SCMDavid Pardoe, Peter Stone. atal 2007: 98 [doi]

Color Learning on a Mobile Robot: Towards Full Autonomy under Changing IlluminationMohan Sridharan, Peter Stone. IJCAI 2007: 2212-2217 [doi]

Structure-based color learning on a mobile robot under changing illuminationMohan Sridharan, Peter Stone. arobots, 23(3):161-182, 2007. [doi]

Global action selection for illumination invariant color modelingMohan Sridharan, Peter Stone. iros 2007: 1671-1676 [doi]

Multiagent learning is not the answer. It is the questionPeter Stone. ai, 171(7):402-405, 2007. [doi]

Learning and Multiagent Reasoning for Autonomous AgentsPeter Stone. IJCAI 2007: 12-30 [doi]

Intelligent Autonomous Robotics: A Robot Soccer Case StudyPeter Stone. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, 2007. [doi]

A Comparison of Two Approaches for Vision and Self-Localization on a Mobile RobotDaniel Stronger, Peter Stone. icra 2007: 3915-3920 [doi]

Cross-domain transfer for reinforcement learningMatthew E. Taylor, Peter Stone. icml 2007: 879-886 [doi]

Transfer via inter-task mappings in policy search reinforcement learningMatthew E. Taylor, Shimon Whiteson, Peter Stone. atal 2007: 37 [doi]

Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical ComparisonMatthew E. Taylor, Shimon Whiteson, Peter Stone. AAAI 2007: 1675-1678

Representation Transfer via ElaborationMatthew E. Taylor, Peter Stone. AAAI 2007: 1906-1907

Towards reinforcement learning representation transferMatthew E. Taylor, Peter Stone. atal 2007: 100 [doi]

Autonomous bidding agents - strategies and lessons from the trading agent competitionMichael P. Wellman, Amy R. Greenwald, Peter Stone. MIT Press, 2007.

Machine Learning for On-Line Hardware ReconfigurationJonathan Wildstrom, Peter Stone, Emmett Witchel, Michael Dahlin. IJCAI 2007: 1113-1118 [doi]

Autonomous Return on Investment Analysis of Additional Processing ResourcesJonathan Wildstrom, Peter Stone, Emmett Witchel. icac 2007: 15 [doi]

2006

A Multi-robot System for Continuous Area Sweeping TasksMazda Ahmadi, Peter Stone. icra 2006: 1724-1729

Keeping in Touch: Maintaining Biconnected Structure by Homogeneous RobotsMazda Ahmadi, Peter Stone. AAAI 2006:

Biconnected Structure for Multi-Robot SystemsMazda Ahmadi, Peter Stone. AAAI 2006:

Making Autonomous Intersection Management Backwards-CompatibleKurt M. Dresner, Peter Stone. AAAI 2006:

Traffic Intersections of the FutureKurt M. Dresner, Peter Stone. AAAI 2006:

Know Thine Enemy: A Champion RoboCup Coach AgentGregory Kuhlmann, William B. Knox, Peter Stone. AAAI 2006:

Automatic Heuristic Construction for General Game PlayingGregory Kuhlmann, Peter Stone. AAAI 2006:

5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), Hakodate, Japan, May 8-12, 2006Hideyuki Nakashima, Michael P. Wellman, Gerhard Weiss, Peter Stone, editors, ACM, 2006.

TacTex-05: A Champion Supply Chain Management AgentDavid Pardoe, Peter Stone. AAAI 2006:

Predictive Planning for Supply Chain ManagementDavid Pardoe, Peter Stone. aips 2006: 21-30

TacTex-05: An Adaptive Agent for TAC SCMDavid Pardoe, Peter Stone, Mark Van Middlesworth. atal 2007: 46-61 [doi]

Autonomous Learning of Stable Quadruped LocomotionManish Saggar, Thomas D Silva, Nate Kohl, Peter Stone. robocup 2007: 98-109 [doi]

From pixels to multi-robot decision-making: A study in uncertaintyPeter Stone, Mohan Sridharan, Daniel Stronger, Gregory Kuhlmann, Nate Kohl, Peggy Fidelman, Nicholas K. Jong. ras, 54(11):933-943, 2006. [doi]

Polynomial Regression with Automated Degree: A Function Approximator for Autonomous AgentsDaniel Stronger, Peter Stone. ictai 2006: 474-480 [doi]

Designing safe, profitable automated stock trading agents using evolutionary algorithmsHarish Subramanian, Subramanian Ramamoorthy, Peter Stone, Benjamin Kuipers. gecco 2006: 1777-1784 [doi]

Sample-Efficient Evolutionary Function Approximation for Reinforcement LearningShimon Whiteson, Peter Stone. AAAI 2006:

On-line evolutionary computation for reinforcement learning in stochastic domainsShimon Whiteson, Peter Stone. gecco 2006: 1577-1584 [doi]

Evolutionary Function Approximation for Reinforcement LearningShimon Whiteson, Peter Stone. jmlr, 7:877-917, 2006. [doi]

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