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Peter Stone - Publications

Affiliations: 
1998 Computer Science University of Texas at Austin, Austin, Texas, U.S.A. 
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95 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Ossmy O, Han D, MacAlpine P, Hoch J, Stone P, Adolph KE. Walking and falling: Using robot simulations to model the role of errors in infant walking. Developmental Science. e13449. PMID 37750490 DOI: 10.1111/desc.13449  0.342
2023 Ghonasgi K, Mirsky R, Bhargava N, Haith AM, Stone P, Deshpande AD. Kinematic coordinations capture learning during human-exoskeleton interaction. Scientific Reports. 13: 10322. PMID 37365176 DOI: 10.1038/s41598-023-35231-3  0.355
2023 Baker MM, New A, Aguilar-Simon M, Al-Halah Z, Arnold SMR, Ben-Iwhiwhu E, Brna AP, Brooks E, Brown RC, Daniels Z, Daram A, Delattre F, Dellana R, Eaton E, Fu H, ... ... Stone P, et al. A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks : the Official Journal of the International Neural Network Society. 160: 274-296. PMID 36709531 DOI: 10.1016/j.neunet.2023.01.007  0.31
2022 Wurman PR, Barrett S, Kawamoto K, MacGlashan J, Subramanian K, Walsh TJ, Capobianco R, Devlic A, Eckert F, Fuchs F, Gilpin L, Khandelwal P, Kompella V, Lin H, MacAlpine P, ... ... Stone P, et al. Outracing champion Gran Turismo drivers with deep reinforcement learning. Nature. 602: 223-228. PMID 35140384 DOI: 10.1038/s41586-021-04357-7  0.326
2021 Liu B, Xiao X, Stone P. A Lifelong Learning Approach to Mobile Robot Navigation Ieee Robotics and Automation Letters. 6: 1090-1096. DOI: 10.1109/LRA.2021.3056373  0.424
2020 Silva FLD, Warnell G, Costa AHR, Stone P. Agents Teaching Agents: A Survey on Inter-agent Transfer Learning. Autonomous Agents and Multi-Agent Systems. 34: 2165-2167. DOI: 10.26153/Tsw/8400  0.392
2020 Lo S, Zhang S, Stone P. The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation Journal of Artificial Intelligence Research. 69: 471-500. DOI: 10.1613/jair.1.12181  0.332
2020 Thomason J, Padmakumar A, Sinapov J, Walker N, Jiang Y, Yedidsion H, Hart JW, Stone P, Mooney RJ. Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog Journal of Artificial Intelligence Research. 67: 327-374. DOI: 10.1613/Jair.1.11485  0.46
2020 Albrecht SV, Stone P, Wellman MP. Special issue on autonomous agents modelling other agents: Guest editorial Artificial Intelligence. 285: 103292. DOI: 10.1016/J.Artint.2020.103292  0.391
2019 Liebman E, Saar-Tsechansky M, Stone P. The Right Music at the Right Time: Adaptive Personalized Playlists Based on Sequence Modeling Management Information Systems Quarterly. 43: 765-786. DOI: 10.25300/Misq/2019/14750  0.378
2019 Jiang Y, Zhang S, Khandelwal P, Stone P. Task planning in robotics: an empirical comparison of PDDL- and ASP-based systems Journal of Zhejiang University Science C. 20: 363-373. DOI: 10.1631/Fitee.1800514  0.44
2019 Asada M, Stone P, Veloso M, Lee D, Nardi D. RoboCup: A Treasure Trove of Rich Diversity for Research Issues and Interdisciplinary Connections [TC Spotlight] Ieee Robotics & Automation Magazine. 26: 99-102. DOI: 10.1109/Mra.2019.2928959  0.653
2019 Jiang Y, Yedidsion H, Zhang S, Sharon G, Stone P. Multi-robot planning with conflicts and synergies Autonomous Robots. 43: 2011-2032. DOI: 10.1007/S10514-019-09848-1  0.498
2018 Ossmy O, Hoch JE, MacAlpine P, Hasan S, Stone P, Adolph KE. Variety Wins: Soccer-Playing Robots and Infant Walking. Frontiers in Neurorobotics. 12: 19. PMID 29867427 DOI: 10.3389/Fnbot.2018.00019  0.373
2018 Albrecht SV, Stone P. Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems Artificial Intelligence. 258: 66-95. DOI: 10.1016/J.Artint.2018.01.002  0.389
2018 MacAlpine P, Stone P. Overlapping layered learning Artificial Intelligence. 254: 21-43. DOI: 10.1016/J.Artint.2017.09.001  0.409
2017 Khandelwal P, Zhang S, Sinapov J, Leonetti M, Thomason J, Yang F, Gori I, Svetlik M, Khante P, Lifschitz V, Aggarwal JK, Mooney R, Stone P. BWIBots: A platform for bridging the gap between AI and human–robot interaction research The International Journal of Robotics Research. 36: 635-659. DOI: 10.1177/0278364916688949  0.479
2017 Barrett S, Rosenfeld A, Kraus S, Stone P. Making friends on the fly Artificial Intelligence. 242: 132-171. DOI: 10.1016/J.Artint.2016.10.005  0.558
2017 Albrecht SV, Liemhetcharat S, Stone P. Special Issue on Multiagent Interaction without Prior Coordination: Guest Editorial Autonomous Agents and Multi-Agent Systems. 31: 765-766. DOI: 10.1007/S10458-016-9358-0  0.735
2016 Hausknecht M, Li WK, Mauk M, Stone P. Machine Learning Capabilities of a Simulated Cerebellum. Ieee Transactions On Neural Networks and Learning Systems. PMID 26829807 DOI: 10.1109/Tnnls.2015.2512838  0.443
2016 Genter K, MacAlpine P, Menashe J, Hannah J, Liebman E, Narvekar S, Zhang R, Stone P. UT Austin Villa: Project-Driven Research in AI and Robotics Ieee Intelligent Systems. 31: 94-101. DOI: 10.1109/Mis.2016.35  0.468
2016 Leonetti M, Iocchi L, Stone P. A synthesis of automated planning and reinforcement learning for efficient, robust decision-making Artificial Intelligence. 241: 103-130. DOI: 10.1016/J.Artint.2016.07.004  0.539
2015 Genter K, Laue T, Stone P. Benchmarking robot cooperation without pre-coordination in the RoboCup Standard Platform League drop-in player competition Ieee International Conference On Intelligent Robots and Systems. 2015: 3415-3420. DOI: 10.1109/IROS.2015.7353853  0.388
2015 Hester T, Stone P. Intrinsically motivated model learning for developing curious robots Artificial Intelligence. DOI: 10.1016/J.Artint.2015.05.002  0.503
2015 Knox WB, Stone P. Framing reinforcement learning from human reward: Reward positivity, temporal discounting, episodicity, and performance Artificial Intelligence. 225: 24-50. DOI: 10.1016/J.Artint.2015.03.009  0.437
2015 Leottau DL, Ruiz-Del-Solar J, MacAlpine P, Stone P. A study of layered learning strategies applied to individual behaviors in robot soccer Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9513: 290-302. DOI: 10.1007/978-3-319-29339-4_24  0.39
2015 Zhang S, Yang F, Khandelwal P, Stone P. Mobile robot planning using action language BC with an abstraction hierarchy Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9345: 502-516. DOI: 10.1007/978-3-319-23264-5_42  0.305
2015 Depinet M, MacAlpine P, Stone P. Keyframe sampling, optimization, and behavior integration: Towards long-distance kicking in the RoboCup 3D simulation league Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 8992: 571-582. DOI: 10.1007/978-3-319-18615-3_47  0.316
2014 Nardi D, Noda I, Ribeiro AF, Stone P, Stryk Ov, Veloso MM. RoboCup Soccer Leagues Ai Magazine. 35: 77-85. DOI: 10.1609/Aimag.V35I3.2549  0.485
2014 Hausknecht M, Lehman J, Miikkulainen R, Stone P. A neuroevolution approach to general atari game playing Ieee Transactions On Computational Intelligence and Ai in Games. 6: 355-366. DOI: 10.1109/Tciaig.2013.2294713  0.356
2014 Chakraborty D, Stone P. Multiagent learning in the presence of memory-bounded agents Autonomous Agents and Multi-Agent Systems. 28: 182-213. DOI: 10.1007/S10458-013-9222-4  0.461
2013 Li WK, Hausknecht MJ, Stone P, Mauk MD. Using a million cell simulation of the cerebellum: network scaling and task generality. Neural Networks : the Official Journal of the International Neural Network Society. 47: 95-102. PMID 23200194 DOI: 10.1016/J.Neunet.2012.11.005  0.351
2013 Stone P, Kaminka GA, Kraus S, Rosenschein JS, Agmon N. Teaching and leading an ad hoc teammate: Collaboration without pre-coordination Artificial Intelligence. 203: 35-65. DOI: 10.1016/J.Artint.2013.07.003  0.647
2013 Hester T, Stone P. TEXPLORE: real-time sample-efficient reinforcement learning for robots Machine Learning. 90: 385-429. DOI: 10.1007/S10994-012-5322-7  0.536
2013 Barrett S, Genter K, He Y, Hester T, Khandelwal P, Menashe J, Stone P. UT Austin Villa 2012: Standard Platform League world champions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7500: 36-47. DOI: 10.1007/978-3-642-39250-4_4  0.337
2012 Sonenberg L, Stone P, Tumer K, Yolum P. Ten Years of AAMAS: Introduction to the Special Issue Ai Magazine. 33: 11. DOI: 10.1609/Aimag.V33I3.2423  0.307
2012 Veloso M, Stone P. Video: RoboCup robot soccer history 1997 - 2011 Ieee International Conference On Intelligent Robots and Systems. 5452-5453. DOI: 10.1109/IROS.2012.6386302  0.611
2012 Hester T, Quinlan M, Stone P. RTMBA: A real-time model-based reinforcement learning architecture for robot control Proceedings - Ieee International Conference On Robotics and Automation. 85-90. DOI: 10.1109/ICRA.2012.6225072  0.445
2012 Knox WB, Glass BD, Love BC, Maddox WT, Stone P. How Humans Teach Agents: A New Experimental Perspective International Journal of Social Robotics. 4: 409-421. DOI: 10.1007/S12369-012-0163-X  0.415
2012 Khandelwal P, Stone P. A low cost ground truth detection system for RoboCup using the kinect Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7416: 515-527. DOI: 10.1007/978-3-642-32060-6_44  0.321
2011 Taylor ME, Stone P. An Introduction to Intertask Transfer for Reinforcement Learning Ai Magazine. 32: 15. DOI: 10.1609/aimag.v32i1.2329  0.311
2011 Jung T, Polani D, Stone P. Empowerment for continuous agent-environment systems Adaptive Behavior. 19: 16-39. DOI: 10.1177/1059712310392389  0.402
2011 Pardoe D, Stone P. Designing adaptive trading agents Sigecom Exchanges. 10: 37-39. DOI: 10.1145/1998549.1998557  0.4
2011 Kalyanakrishnan S, Stone P. Characterizing reinforcement learning methods through parameterized learning problems Machine Learning. 84: 205-247. DOI: 10.1007/S10994-011-5251-X  0.414
2010 Whiteson S, Taylor ME, Stone P. Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning Autonomous Agents and Multi-Agent Systems. 21: 1-35. DOI: 10.1007/S10458-009-9100-2  0.753
2010 Stone P, Kaminka GA, Rosenschein JS. Leading a best-response teammate in an ad hoc team Lecture Notes in Business Information Processing. 59: 132-146. DOI: 10.1007/978-3-642-15117-0_10  0.588
2009 Sridharan M, Stone P. Color learning and illumination invariance on mobile robots: A survey Robotics and Autonomous Systems. 57: 629-644. DOI: 10.1016/J.Robot.2009.01.004  0.704
2008 Dresner K, Stone P. A multiagent approach to autonomous intersection management Journal of Artificial Intelligence Research. 31: 591-656. DOI: 10.1613/Jair.2502  0.325
2008 Lee J, Knox WB, Stone P. Inter-classifier feedback for human-robot interaction in a domestic setting Journal of Physical Agents (Jopha). 2: 41-50. DOI: 10.14198/JOPHA.2008.2.2.06  0.333
2008 Stronger D, Stone PH. Polynomial regression with automated degree: A function approximator for autonomous agents International Journal On Artificial Intelligence Tools. 17: 159-174. DOI: 10.1142/S0218213008003820  0.747
2007 Stone P. Intelligent Autonomous Robotics: A Robot Soccer Case Study Synthesis Lectures On Artificial Intelligence and Machine Learning. 1: 1-155. DOI: 10.2200/S00090ED1V01Y200705AIM001  0.361
2007 Wildstrom J, Stone P, Witchel E. Autonomous return on investment analysis of additional processing resources Fourth International Conference On Autonomic Computing, Icac'07. DOI: 10.1504/Ijac.2010.033010  0.417
2007 Whiteson S, Taylor ME, Stone P. Empirical Studies in Action Selection with Reinforcement Learning Adaptive Behavior. 15: 33-50. DOI: 10.1177/1059712306076253  0.761
2007 Sridharan M, Stone P. Global action selection for illumination invariant color modeling Ieee International Conference On Intelligent Robots and Systems. 1671-1676. DOI: 10.1109/IROS.2007.4399203  0.425
2007 Stone P. Multiagent learning is not the answer. It is the question Artificial Intelligence. 171: 402-405. DOI: 10.1016/J.Artint.2006.12.005  0.418
2007 Sridharan M, Stone P. Structure-based color learning on a mobile robot under changing illumination Autonomous Robots. 23: 161-182. DOI: 10.1007/S10514-007-9038-7  0.698
2006 Sridharan M, Stone P. Autonomous planned color learning on a mobile robot without labeled data 9th International Conference On Control, Automation, Robotics and Vision, 2006, Icarcv '06. DOI: 10.1109/ICARCV.2006.345403  0.44
2006 Stronger D, Stone P. Towards Autonomous Sensor and Actuator Model Induction on a Mobile Robot Connection Science. 18: 97-119. DOI: 10.1080/09540090600768690  0.764
2006 Stone PH, Sridharan M, Stronger D, Kuhlmann G, Kohl N, Fidelman P, Jong NK. From pixels to multi-robot decision-making: A study in uncertainty Robotics and Autonomous Systems. 54: 933-943. DOI: 10.1016/J.Robot.2006.05.010  0.754
2006 Isbell CL, Kearns M, Singh S, Shelton CR, Stone P, Kormann D. Cobot in LambdaMOO: An adaptive social statistics agent Autonomous Agents and Multi-Agent Systems. 13: 327-354. DOI: 10.1007/S10458-006-0005-Z  0.38
2005 Stone P, Sutton RS, Kuhlmann G. Reinforcement learning for RoboCup soccer keepaway Adaptive Behavior. 13: 165-188. DOI: 10.1177/105971230501300301  0.337
2005 Pardoe D, Stone P. Developing adaptive auction mechanisms Sigecom Exchanges. 5: 1-10. DOI: 10.1145/1120680.1120682  0.301
2005 Sridharan M, Kuhlmann G, Stone P. Practical vision-based Monte Carlo localization on a legged robot Proceedings - Ieee International Conference On Robotics and Automation. 2005: 3366-3371. DOI: 10.1109/ROBOT.2005.1570630  0.385
2005 Sridharan M, Stone P. Real-time vision on a mobile robot platform 2005 Ieee/Rsj International Conference On Intelligent Robots and Systems, Iros. 3670-3675. DOI: 10.1109/IROS.2005.1545540  0.356
2005 Whiteson S, Kohl N, Miikkulainen R, Stone P. Evolving soccer keepaway players through task decomposition Machine Learning. 59: 5-30. DOI: 10.1007/S10994-005-0460-9  0.763
2005 Stone P, Greenwald A. The first international Trading Agent Competition: Autonomous bidding agents Electronic Commerce Research. 5: 229-265. DOI: 10.1007/S10660-005-6158-Z  0.355
2005 Ahmadi M, Stone P. Multi-robot learning for continuous area sweeping Lecture Notes in Computer Science. 47-70. DOI: 10.1007/11691839_2  0.492
2004 Sridharan M, Stone P. Towards on-board color constancy on mobile robots Proceedings - 1st Canadian Conference On Computer and Robot Vision. 130-137. DOI: 10.1109/CCCRV.2004.1301436  0.366
2004 Whiteson S, Stone P. Adaptive job routing and scheduling Engineering Applications of Artificial Intelligence. 17: 855-869. DOI: 10.1016/J.Engappai.2004.08.027  0.743
2003 Stone P, Schapire RE, Littman ML, Csirik JA, McAllester D. Decision-theoretic bidding based on learned density Models in simultaneous, interacting auctions Journal of Artificial Intelligence Research. 19: 209-242. DOI: 10.1613/Jair.1200  0.429
2003 Greenwald A, Jennings NR, Stone P. Agents and Markets Ieee Intelligent Systems. 18: 12-14. DOI: 10.1109/Mis.2003.1249164  0.382
2003 Noda I, Stone P. The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research Autonomous Agents and Multi-Agent Systems. 7: 101-120. DOI: 10.1023/A:1024128904944  0.373
2002 Karlgren J, Kanerva P, Gambäck B, Forbus KD, Tumer K, Stone P, Goebel K, Sukhatme GS, Balch TR, Fischer B, Smith D, Harabagiu SM, Chaudri VK, Barley M, Guesgen HW, et al. The 2002 AAAI Spring Symposium Series Ai Magazine. 23: 101-106. DOI: 10.1609/Aimag.V23I4.1675  0.405
2002 Veloso M, Balch T, Stone P, Kitano H, Yamasaki F, Endo K, Asada M, Jamzad M, Sadjad BS, Mirrokni VS, Kazemi M, Chitsaz H, Heydarnoori A, Hajiaghai MT, Chiniforooshan E. Robocup-2001: the fifth robotic soccer world championships Ai Magazine. 23: 55-68. DOI: 10.1609/Aimag.V23I1.1609  0.618
2002 Wellman MP, Greenwald A, Stone P, Wurman PR. The 2001 trading agent competition Proceedings of the National Conference On Artificial Intelligence. 935-941. DOI: 10.1080/1019678032000062212  0.316
2002 Stone P, Schapire RE, Csirik JA, Littman ML, McAllester D. ATTac-2001: A learning, autonomous bidding agent Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2531: 143-160. DOI: 10.1007/3-540-36378-5_9  0.435
2002 Reitsma PSA, Stone P, Csirik JA, Littman ML. Self-enforcing strategic demand reduction Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2531: 289-306. DOI: 10.1007/3-540-36378-5_18  0.369
2001 Stone P, Littman ML, Singh S, Kearns M. ATTac-2000: An adaptive autonomous bidding agent Journal of Artificial Intelligence Research. 15: 189-206. DOI: 10.1613/Jair.865  0.391
2001 Greenwald A, Stone P. Autonomous bidding agents the trading agent competition Ieee Internet Computing. 5: 52-60. DOI: 10.1109/4236.914648  0.349
2000 Stone P, Riley P, Veloso MM. The CMUnited-99 Champion Simulator Team Ai Magazine. 21: 33-40. DOI: 10.1609/Aimag.V21I3.1520  0.57
2000 Coradeschi S, Karlsson L, Stone P, Balch TR, Kraetzschmar GK, Asada M. Overview of RoboCup-99 Ai Magazine. 21: 11-18. DOI: 10.1609/Aimag.V21I3.1516  0.476
2000 Veloso MM, Bowling MH, Achim S, Han K, Stone P. CMUNITED-98: RoboCup-98 Small-Robot World Champion Team Ai Magazine. 21: 29-36. DOI: 10.1609/Aimag.V21I1.1492  0.476
2000 Stone P, Veloso MM, Riley P. CMUNITED-98 Simulator Team Ai Magazine. 21: 20-28. DOI: 10.1609/Aimag.V21I1.1491  0.595
2000 Stone P, Veloso M. Multiagent Systems: A Survey from a Machine Learning Perspective Autonomous Robots. 8: 345-383. DOI: 10.1023/A:1008942012299  0.669
1999 Veloso MM, Stone P, Bowling M. Anticipation as a Key for Collaboration in a Team of Agents: A Case Study in Robotic Soccer Proceedings of Spie. 3839: 134-141. DOI: 10.1117/12.360333  0.71
1999 Veloso MM, Stone P, Han K. The CMUnited-97 robotic soccer team: Perception and multi-agent control Robotics and Autonomous Systems. 29: 133-143. DOI: 10.1016/S0921-8890(99)00048-2  0.516
1999 Stone P, Veloso M. Task decomposition, dynamic role assignment, and low-bandwidth communication for real-time strategic teamwork Artificial Intelligence. 110: 241-273. DOI: 10.1016/S0004-3702(99)00025-9  0.604
1998 Veloso MM, Stone P, Han K. CMUNITED-97: RoboCup-97 Small-Robot World Champion Team Ai Magazine. 19: 61-69. DOI: 10.1609/Aimag.V19I3.1394  0.517
1998 Veloso M, Bowling M, Stone P. The CMUnited-98 champion small-robot team Advanced Robotics. 13: 753-766. DOI: 10.1163/156855300X00089  0.695
1998 Veloso M, Stone P, Han K, Achim S. CMUnited: a team of robotics soccer agents collaborating in an adversarial environment Acm Crossroads Student Magazine. 4: 11-17. DOI: 10.1145/332084.332089  0.685
1998 Asada M, Stone P, Kitano H, Werger B, Kuniyoshi Y, Drogoul A, Duhaut D, Veloso M, Asama H, Suzuki S. The robocup physical agent challenge: Phase i Applied Artificial Intelligence. 12: 251-263. DOI: 10.1080/088395198117857  0.401
1998 Stone PH, Veloso M. Layered approach to learning client behaviors in the robocup soccer server Applied Artificial Intelligence. 12: 165-188. DOI: 10.1080/088395198117811  0.6
1998 Stone P, Veloso MM. Communication in Domains with Unreliable, Single-Channel, Low-Bandwidth Communication Lecture Notes in Computer Science. 85-97. DOI: 10.1007/Bfb0033376  0.324
1998 Stone P, Veloso M. Towards collaborative and adversarial learning International Journal of Human-Computer Studies \/ International Journal of Man-Machine Studies. 48: 83-104. DOI: 10.1006/Ijhc.1997.0162  0.639
1995 Veloso M, Stone P. FLECS: planning with a flexible commitment strategy Journal of Artificial Intelligence Research. 3: 25-52. DOI: 10.1613/Jair.131  0.561
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