2008 |
188 | EE | Matthew E. Taylor,
Gregory Kuhlmann,
Peter Stone:
Autonomous transfer for reinforcement learning.
AAMAS (1) 2008: 283-290 |
187 | EE | Nicholas K. Jong,
Todd Hester,
Peter Stone:
The utility of temporal abstraction in reinforcement learning.
AAMAS (1) 2008: 299-306 |
186 | EE | Kurt M. Dresner,
Peter Stone:
Mitigating catastrophic failure at intersections of autonomous vehicles.
AAMAS (3) 2008: 1393-1396 |
185 | EE | Mark Van Middlesworth,
Kurt M. Dresner,
Peter Stone:
Replacing the stop sign: unmanaged intersection control for autonomous vehicles.
AAMAS (3) 2008: 1413-1416 |
184 | | Matthew E. Taylor,
Gregory Kuhlmann,
Peter Stone:
Transfer Learning and Intelligence: an Argument and Approach.
AGI 2008: 326-337 |
183 | EE | Doran Chakraborty,
Peter Stone:
Online Multiagent Learning against Memory Bounded Adversaries.
ECML/PKDD (1) 2008: 211-226 |
182 | EE | Matthew E. Taylor,
Nicholas K. Jong,
Peter Stone:
Transferring Instances for Model-Based Reinforcement Learning.
ECML/PKDD (2) 2008: 488-505 |
181 | EE | Joseph Reisinger,
Peter Stone,
Risto Miikkulainen:
Online kernel selection for Bayesian reinforcement learning.
ICML 2008: 816-823 |
180 | EE | W. Bradley Knox,
Juhyun Lee,
Peter Stone:
Person recognition on a Segway Robot: A video of UT Austin Villa Robocup@Home 2007 finals demonstration.
ICRA 2008: 1785-1786 |
179 | EE | Daniel Stronger,
Peter Stone:
Maximum likelihood estimation of sensor and action model functions on a mobile robot.
ICRA 2008: 2104-2109 |
178 | EE | Juhyun Lee,
Peter Stone:
Person tracking on a mobile robot with heterogeneous inter-characteristic feedback.
ICRA 2008: 2577-2582 |
177 | EE | Todd Hester,
Peter Stone:
Negative information and line observations for Monte Carlo localization.
ICRA 2008: 2764-2769 |
176 | | Mohan Sridharan,
Peter Stone:
Long-Term vs. Greedy Action Planning for Color Learning on a Mobile Robot.
VISAPP (2) 2008: 682-685 |
175 | | Mohan Sridharan,
Peter Stone:
Comparing Two Action Planning Approaches for Color Learning on a Mobile Robot.
VISAPP (Workshop on Robot Perception) 2008: 43-52 |
174 | EE | Daniel Stronger,
Peter Stone:
Polynomial Regression with Automated Degree: a Function Approximator for Autonomous Agents.
International Journal on Artificial Intelligence Tools 17(1): 159-174 (2008) |
2007 |
173 | | Matthew E. Taylor,
Shimon Whiteson,
Peter Stone:
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison.
AAAI 2007: 1675-1678 |
172 | | Matthew E. Taylor,
Peter Stone:
Representation Transfer via Elaboration.
AAAI 2007: 1906-1907 |
171 | EE | Matthew E. Taylor,
Peter Stone:
Towards reinforcement learning representation transfer.
AAMAS 2007: 100 |
170 | EE | Mazda Ahmadi,
Matthew E. Taylor,
Peter Stone:
IFSA: incremental feature-set augmentation for reinforcement learning tasks.
AAMAS 2007: 186 |
169 | EE | Matthew E. Taylor,
Shimon Whiteson,
Peter Stone:
Transfer via inter-task mappings in policy search reinforcement learning.
AAMAS 2007: 37 |
168 | EE | Shivaram Kalyanakrishnan,
Peter Stone:
Batch reinforcement learning in a complex domain.
AAMAS 2007: 94 |
167 | EE | Nicholas K. Jong,
Peter Stone:
Model-based function approximation in reinforcement learning.
AAMAS 2007: 95 |
166 | EE | David Pardoe,
Peter Stone:
Adapting in agent-based markets: a study from TAC SCM.
AAMAS 2007: 98 |
165 | EE | David Pardoe,
Peter Stone:
Adapting Price Predictions in TAC SCM.
AMEC/TADA 2007: 30-45 |
164 | EE | Gregory Kuhlmann,
Peter Stone:
Graph-Based Domain Mapping for Transfer Learning in General Games.
ECML 2007: 188-200 |
163 | EE | Jonathan Wildstrom,
Peter Stone,
Emmett Witchel:
Autonomous Return on Investment Analysis of Additional Processing Resources.
ICAC 2007: 15 |
162 | EE | Matthew E. Taylor,
Peter Stone:
Cross-domain transfer for reinforcement learning.
ICML 2007: 879-886 |
161 | EE | Daniel Stronger,
Peter Stone:
A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot.
ICRA 2007: 3915-3920 |
160 | EE | Jonathan Wildstrom,
Peter Stone,
Emmett Witchel,
Michael Dahlin:
Machine Learning for On-Line Hardware Reconfiguration.
IJCAI 2007: 1113-1118 |
159 | EE | Peter Stone:
Learning and Multiagent Reasoning for Autonomous Agents.
IJCAI 2007: 12-30 |
158 | EE | Kurt M. Dresner,
Peter Stone:
Sharing the Road: Autonomous Vehicles Meet Human Drivers.
IJCAI 2007: 1263-1268 |
157 | EE | Mohan Sridharan,
Peter Stone:
Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination.
IJCAI 2007: 2212-2217 |
156 | EE | Bikramjit Banerjee,
Peter Stone:
General Game Learning Using Knowledge Transfer.
IJCAI 2007: 672-677 |
155 | EE | Mohan Sridharan,
Peter Stone:
Global action selection for illumination invariant color modeling.
IROS 2007: 1671-1676 |
154 | EE | Mazda Ahmadi,
Peter Stone:
Instance-Based Action Models for Fast Action Planning.
RoboCup 2007: 1-16 |
153 | EE | Shivaram Kalyanakrishnan,
Peter Stone,
Yaxin Liu:
Model-Based Reinforcement Learning in a Complex Domain.
RoboCup 2007: 171-183 |
152 | EE | Uli Grasemann,
Daniel Stronger,
Peter Stone:
A Neural Network-Based Approach to Robot Motion Control.
RoboCup 2007: 480-487 |
151 | EE | Nicholas K. Jong,
Peter Stone:
Model-Based Exploration in Continuous State Spaces.
SARA 2007: 258-272 |
150 | EE | Peter Stone:
Multiagent learning is not the answer. It is the question.
Artif. Intell. 171(7): 402-405 (2007) |
149 | EE | Mohan Sridharan,
Peter Stone:
Structure-based color learning on a mobile robot under changing illumination.
Auton. Robots 23(3): 161-182 (2007) |
2006 |
148 | | Hideyuki Nakashima,
Michael P. Wellman,
Gerhard Weiss,
Peter Stone:
5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), Hakodate, Japan, May 8-12, 2006
ACM 2006 |
147 | | Gregory Kuhlmann,
Peter Stone:
Automatic Heuristic Construction for General Game Playing.
AAAI 2006 |
146 | | Gregory Kuhlmann,
Peter Stone:
Automatic Heuristic Construction in a Complete General Game Player.
AAAI 2006 |
145 | | Mazda Ahmadi,
Peter Stone:
Biconnected Structure for Multi-Robot Systems.
AAAI 2006 |
144 | | Daniel Stronger,
Peter Stone:
Expectation-Based Vision for Self-Localization on a Legged Robot.
AAAI 2006 |
143 | | Matthew E. Taylor,
Peter Stone:
Inter-Task Action Correlation for Reinforcement Learning Tasks.
AAAI 2006 |
142 | | Mazda Ahmadi,
Peter Stone:
Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots.
AAAI 2006 |
141 | | Gregory Kuhlmann,
William B. Knox,
Peter Stone:
Know Thine Enemy: A Champion RoboCup Coach Agent.
AAAI 2006 |
140 | | Kurt M. Dresner,
Peter Stone:
Making Autonomous Intersection Management Backwards-Compatible.
AAAI 2006 |
139 | | Shimon Whiteson,
Peter Stone:
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning.
AAAI 2006 |
138 | | David Pardoe,
Peter Stone:
TacTex-05: A Champion Supply Chain Management Agent.
AAAI 2006 |
137 | | Kurt M. Dresner,
Peter Stone:
Traffic Intersections of the Future.
AAAI 2006 |
136 | | Yaxin Liu,
Peter Stone:
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping.
AAAI 2006 |
135 | EE | Matthew E. Taylor,
Shimon Whiteson,
Peter Stone:
Comparing evolutionary and temporal difference methods in a reinforcement learning domain.
GECCO 2006: 1321-1328 |
134 | EE | Shimon Whiteson,
Peter Stone:
On-line evolutionary computation for reinforcement learning in stochastic domains.
GECCO 2006: 1577-1584 |
133 | EE | Harish Subramanian,
Subramanian Ramamoorthy,
Peter Stone,
Benjamin Kuipers:
Designing safe, profitable automated stock trading agents using evolutionary algorithms.
GECCO 2006: 1777-1784 |
132 | | David Pardoe,
Peter Stone:
Predictive Planning for Supply Chain Management.
ICAPS 2006: 21-30 |
131 | EE | Mohan Sridharan,
Peter Stone:
Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data.
ICARCV 2006: 1-6 |
130 | EE | David Pardoe,
Peter Stone,
Maytal Saar-Tsechansky,
Kerem Tomak:
Adaptive mechanism design: a metalearning approach.
ICEC 2006: 92-102 |
129 | | Mazda Ahmadi,
Peter Stone:
A Multi-robot System for Continuous Area Sweeping Tasks.
ICRA 2006: 1724-1729 |
128 | EE | Daniel Stronger,
Peter Stone:
Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents.
ICTAI 2006: 474-480 |
127 | EE | Daniel Stronger,
Peter Stone:
Selective Visual Attention for Object Detection on a Legged Robot.
RoboCup 2006: 158-170 |
126 | EE | Mohan Sridharan,
Peter Stone:
Autonomous Planned Color Learning on a Legged Robot.
RoboCup 2006: 270-278 |
125 | EE | Peggy Fidelman,
Peter Stone:
The Chin Pinch: A Case Study in Skill Learning on a Legged Robot.
RoboCup 2006: 59-71 |
124 | EE | Shivaram Kalyanakrishnan,
Yaxin Liu,
Peter Stone:
Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study.
RoboCup 2006: 72-85 |
123 | EE | Manish Saggar,
Thomas D'Silva,
Nate Kohl,
Peter Stone:
Autonomous Learning of Stable Quadruped Locomotion.
RoboCup 2006: 98-109 |
122 | EE | David Pardoe,
Peter Stone,
Mark Van Middlesworth:
TacTex-05: An Adaptive Agent for TAC SCM.
TADA/AMEC 2006: 46-61 |
121 | EE | Charles Lee Isbell Jr.,
Michael J. Kearns,
Satinder P. Singh,
Christian R. Shelton,
Peter Stone,
David P. Kormann:
Cobot in LambdaMOO: An Adaptive Social Statistics Agent.
Autonomous Agents and Multi-Agent Systems 13(3): 327-354 (2006) |
120 | EE | Daniel Stronger,
Peter Stone:
Towards autonomous sensor and actuator model induction on a mobile robot.
Connect. Sci. 18(2): 97-119 (2006) |
119 | EE | Shimon Whiteson,
Peter Stone:
Evolutionary Function Approximation for Reinforcement Learning.
Journal of Machine Learning Research 7: 877-917 (2006) |
118 | EE | Peter Stone,
Mohan Sridharan,
Daniel Stronger,
Gregory Kuhlmann,
Nate Kohl,
Peggy Fidelman,
Nicholas K. Jong:
From pixels to multi-robot decision-making: A study in uncertainty.
Robotics and Autonomous Systems 54(11): 933-943 (2006) |
2005 |
117 | | Alexander A. Sherstov,
Peter Stone:
Improving Action Selection in MDP's via Knowledge Transfer.
AAAI 2005: 1024-1029 |
116 | | Mohan Sridharan,
Peter Stone:
Autonomous Color Learning on a Mobile Robot.
AAAI 2005: 1318-1323 |
115 | | Matthew E. Taylor,
Peter Stone,
Yaxin Liu:
Value Functions for RL-Based Behavior Transfer: A Comparative Study.
AAAI 2005: 880-885 |
114 | EE | Kurt M. Dresner,
Peter Stone:
Multiagent traffic management: an improved intersection control mechanism.
AAMAS 2005: 471-477 |
113 | EE | Matthew E. Taylor,
Peter Stone:
Behavior transfer for value-function-based reinforcement learning.
AAMAS 2005: 53-59 |
112 | EE | Shimon Whiteson,
Peter Stone,
Kenneth O. Stanley,
Risto Miikkulainen,
Nate Kohl:
Automatic feature selection in neuroevolution.
GECCO 2005: 1225-1232 |
111 | EE | Jonathan Wildstrom,
Peter Stone,
Emmett Witchel,
Raymond J. Mooney,
Michael Dahlin:
Towards Self-Configuring Hardware for Distributed Computer Systems.
ICAC 2005: 241-249 |
110 | | Mohan Sridharan,
Gregory Kuhlmann,
Peter Stone:
Practical Vision-Based Monte Carlo Localization on a Legged Robot.
ICRA 2005: 3366-3371 |
109 | | Daniel Stronger,
Peter Stone:
Simultaneous Calibration of Action and Sensor Models on a Mobile Robot.
ICRA 2005: 4563-4568 |
108 | EE | Nicholas K. Jong,
Peter Stone:
State Abstraction Discovery from Irrelevant State Variables.
IJCAI 2005: 752-757 |
107 | EE | Kurt M. Dresner,
Peter Stone:
Multiagent Traffic Management: Opportunities for Multiagent Learning.
LAMAS 2005: 129-138 |
106 | EE | Mazda Ahmadi,
Peter Stone:
Multi-robot Learning for Continuous Area Sweeping.
LAMAS 2005: 47-70 |
105 | EE | Mohan Sridharan,
Peter Stone:
Towards Eliminating Manual Color Calibration at RoboCup.
RoboCup 2005: 673-681 |
104 | EE | Peter Stone,
Gregory Kuhlmann,
Matthew E. Taylor,
Yaxin Liu:
Keepaway Soccer: From Machine Learning Testbed to Benchmark.
RoboCup 2005: 93-105 |
103 | EE | Alexander A. Sherstov,
Peter Stone:
Function Approximation via Tile Coding: Automating Parameter Choice.
SARA 2005: 194-205 |
102 | EE | Michael L. Littman,
Peter Stone:
A polynomial-time Nash equilibrium algorithm for repeated games.
Decision Support Systems 39(1): 55-66 (2005) |
101 | EE | Peter Stone,
Amy R. Greenwald:
The First International Trading Agent Competition: Autonomous Bidding Agents.
Electronic Commerce Research 5(2): 229-265 (2005) |
100 | EE | Shimon Whiteson,
Nate Kohl,
Risto Miikkulainen,
Peter Stone:
Evolving Soccer Keepaway Players Through Task Decomposition.
Machine Learning 59(1-2): 5-30 (2005) |
99 | EE | David Pardoe,
Peter Stone:
Developing adaptive auction mechanisms.
SIGecom Exchanges 5(3): 1-10 (2005) |
2004 |
98 | | Nate Kohl,
Peter Stone:
Machine Learning for Fast Quadrupedal Locomotion.
AAAI 2004: 611-616 |
97 | | Shimon Whiteson,
Peter Stone:
Towards Autonomic Computing: Adaptive Job Routing and Scheduling.
AAAI 2004: 916-922 |
96 | EE | David Pardoe,
Peter Stone:
Agent-Based Supply Chain Management: Bidding for Customer Orders.
AAMAS 2004: 1442-1443 |
95 | EE | Kurt M. Dresner,
Peter Stone:
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism.
AAMAS 2004: 530-537 |
94 | EE | David Pardoe,
Peter Stone:
Bidding for Customer Orders in TAC SCM.
AMEC 2004: 143-157 |
93 | EE | Alexander A. Sherstov,
Peter Stone:
Three Automated Stock-Trading Agents: A Comparative Study.
AMEC 2004: 173-187 |
92 | EE | Mohan Sridharan,
Peter Stone:
Towards On-Board Color Constancy on Mobile Robots.
CRV 2004: 130-137 |
91 | EE | Shimon Whiteson,
Peter Stone:
Towards Autonomic Computing: Adaptive Network Routing and Scheduling.
ICAC 2004: 286-287 |
90 | EE | Nate Kohl,
Peter Stone:
Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion.
ICRA 2004: 2619-2624 |
89 | | Andreas Wahle,
Mark E. Olszewski,
Sarah C. Vigmostad,
Kathleen Braddy,
Theresa Brennan,
James D. Rossen,
Krishnan B. Chandran,
Milan Sonka,
Rubén Medina,
A. Coskun,
Charles Feldman,
Peter Stone:
Quantitative Analysis of Circumferential Plaque Distribution in Human Coronary Arteries in Relation to Local Vessel Curvature.
ISBI 2004: 531-534 |
88 | EE | Mohan Sridharan,
Peter Stone:
Towards Illumination Invariance in the Legged League.
RobuCup 2004: 196-208 |
87 | EE | Daniel Stronger,
Peter Stone:
A Model-Based Approach to Robot Joint Control.
RobuCup 2004: 297-309 |
86 | EE | Gregory Kuhlmann,
Peter Stone,
Justin Lallinger:
The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach.
RobuCup 2004: 636-644 |
85 | EE | Elizabeth Sklar,
Simon Parsons,
Peter Stone:
Using RoboCup in university-level computer science education.
ACM Journal of Educational Resources in Computing 4(2): 4 (2004) |
84 | EE | David Pardoe,
Peter Stone:
TacTex-03: a supply chain management agent.
SIGecom Exchanges 4(3): 19-28 (2004) |
2003 |
83 | EE | Shimon Whiteson,
Peter Stone:
Concurrent layered learning.
AAMAS 2003: 193-200 |
82 | EE | Michael L. Littman,
Peter Stone:
A polynomial-time nash equilibrium algorithm for repeated games.
ACM Conference on Electronic Commerce 2003: 48-54 |
81 | EE | Shimon Whiteson,
Nate Kohl,
Risto Miikkulainen,
Peter Stone:
Evolving Keepaway Soccer Players through Task Decomposition.
GECCO 2003: 356-368 |
80 | EE | Ronggang Yu,
Peter Stone:
Performance analysis of a counter-intuitive automated stock-trading agent.
ICEC 2003: 40-46 |
79 | | Satinder P. Singh,
Michael L. Littman,
Nicholas K. Jong,
David Pardoe,
Peter Stone:
Learning Predictive State Representations.
ICML 2003: 712-719 |
78 | EE | Peter Stone:
RoboCup as an Introduction to CS Research.
RoboCup 2003: 284-295 |
77 | EE | Elizabeth Sklar,
Simon Parsons,
Peter Stone:
RoboCup in Higher Education: A Preliminary Report.
RoboCup 2003: 296-307 |
76 | EE | Gregory Kuhlmann,
Peter Stone:
Progress in Learning 3 vs. 2 Keepaway
RoboCup 2003: 694-702 |
75 | EE | Itsuki Noda,
Peter Stone:
The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research.
Autonomous Agents and Multi-Agent Systems 7(1-2): 101-120 (2003) |
74 | EE | Michael P. Wellman,
Amy R. Greenwald,
Peter Stone,
Peter R. Wurman:
The 2001 Trading Agent Competition.
Electronic Markets 13(1): (2003) |
73 | EE | Amy R. Greenwald,
Nicholas R. Jennings,
Peter Stone:
Guest Editors' Introduction: Agents and Markets.
IEEE Intelligent Systems 18(6): 12-14 (2003) |
72 | EE | Peter Stone,
Robert E. Schapire,
Michael L. Littman,
János A. Csirik,
David A. McAllester:
Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions.
J. Artif. Intell. Res. (JAIR) 19: 209-242 (2003) |
2002 |
71 | | Michael P. Wellman,
Amy R. Greenwald,
Peter Stone,
Peter R. Wurman:
The 2001 Trading Agent Competition.
AAAI/IAAI 2002: 935- |
70 | EE | Paul S. A. Reitsma,
Peter Stone,
János Csirik,
Michael L. Littman:
Randomized strategic demand reduction: getting more by asking for less.
AAMAS 2002: 162-163 |
69 | EE | Peter Stone,
Robert E. Schapire,
János A. Csirik,
Michael L. Littman,
David A. McAllester:
ATTac-2001: A Learning, Autonomous Bidding Agent.
AMEC 2002: 143-160 |
68 | EE | Paul S. A. Reitsma,
Peter Stone,
János A. Csirik,
Michael L. Littman:
Self-Enforcing Strategic Demand Reduction.
AMEC 2002: 289-306 |
67 | | Robert E. Schapire,
Peter Stone,
David A. McAllester,
Michael L. Littman,
János A. Csirik:
Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation.
ICML 2002: 546-553 |
66 | EE | Peter Stone:
Multiagent Competitions and Research: Lessons from RoboCup and TAC.
RoboCup 2002: 224-237 |
65 | | Manuela M. Veloso,
Tucker R. Balch,
Peter Stone,
Hiroaki Kitano,
Fuminori Yamasaki,
Ken Endo,
Minoru Asada,
Mansour Jamzad,
Sayyed Bashir Sadjad,
Vahab S. Mirrokni,
Moslem Kazemi,
Hamid Reza Chitsaz,
Abbas Heydarnoori,
Mohammad Taghi Hajiaghayi,
Ehsan Chiniforooshan:
RoboCup-2001: The Fifth Robotic Soccer World Championships.
AI Magazine 23(1): 55-68 (2002) |
64 | | Jussi Karlgren,
Pentti Kanerva,
Björn Gambäck,
Kenneth D. Forbus,
Kagan Tumer,
Peter Stone,
Kai Goebel,
Gaurav S. Sukhatme,
Tucker R. Balch,
Bernd Fischer,
Doug Smith,
Sanda M. Harabagiu,
Vinay Chaudri,
Mike Barley,
Hans W. Guesgen,
Thomas F. Stahovich,
Randall Davis,
James A. Landay:
The 2002 AAAI Spring Symposium Series.
AI Magazine 23(4): 101-106 (2002) |
2001 |
63 | | Peter Stone,
Tucker R. Balch,
Gerhard K. Kraetzschmar:
RoboCup 2000: Robot Soccer World Cup IV
Springer 2001 |
62 | EE | Michael L. Littman,
Peter Stone:
Implicit Negotiation in Repeated Games.
ATAL 2001: 393-404 |
61 | EE | Peter Stone,
Michael L. Littman,
Satinder P. Singh,
Michael J. Kearns:
ATTac-2000: an adaptive autonomous bidding agent.
Agents 2001: 238-245 |
60 | EE | Peter Stone,
David A. McAllester:
An architecture for action selection in robotic soccer.
Agents 2001: 316-323 |
59 | EE | Charles Lee Isbell Jr.,
Christian R. Shelton,
Michael J. Kearns,
Satinder P. Singh,
Peter Stone:
A social reinforcement learning agent.
Agents 2001: 377-384 |
58 | | Peter Stone,
Richard S. Sutton:
Scaling Reinforcement Learning toward RoboCup Soccer.
ICML 2001: 537-544 |
57 | EE | Charles Lee Isbell Jr.,
Christian R. Shelton,
Michael J. Kearns,
Satinder P. Singh,
Peter Stone:
Cobot: A Social Reinforcement Learning Agent.
NIPS 2001: 1393-1400 |
56 | EE | Peter Stone,
Richard S. Sutton:
Keepaway Soccer: A Machine Learning Testbed.
RoboCup 2001: 214-223 |
55 | EE | Peter Stone:
ATTUnited-2001: Using Heterogeneous Players.
RoboCup 2001: 495-498 |
54 | EE | János A. Csirik,
Michael L. Littman,
Satinder P. Singh,
Peter Stone:
FAucS : An FCC Spectrum Auction Simulator for Autonomous Bidding Agents.
WELCOM 2001: 139-151 |
53 | | Peter Stone:
RoboCup-2001: The Fourth Robotic Soccer World Championships.
AI Magazine 22(1): 11-38 (2001) |
52 | EE | Amy R. Greenwald,
Peter Stone:
Autonomous Bidding Agents in the Trading Agent Competition.
IEEE Internet Computing 5(2): 52- (2001) |
51 | EE | Peter Stone,
Michael L. Littman,
Satinder P. Singh,
Michael J. Kearns:
ATTac-2000: An Adaptive Autonomous Bidding Agent.
J. Artif. Intell. Res. (JAIR) 15: 189-206 (2001) |
2000 |
50 | | Peter Stone,
Patrick Riley,
Manuela M. Veloso:
Defining and Using Ideal Teammate and Opponent Agent Models.
AAAI/IAAI 2000: 1040-1045 |
49 | | Charles Lee Isbell Jr.,
Michael J. Kearns,
David P. Kormann,
Satinder P. Singh,
Peter Stone:
Cobot in LambdaMOO: A Social Statistics Agent.
AAAI/IAAI 2000: 36-41 |
48 | EE | Patrick Riley,
Peter Stone,
Manuela M. Veloso:
Layered Disclosure: Revealing Agents' Internals.
ATAL 2000: 61-72 |
47 | EE | Peter Stone,
Patrick Riley,
Manuela M. Veloso:
Layered disclosure: why is the agent doing what it's doing?
Agents 2000: 225-226 |
46 | EE | Itsuki Noda,
Peter Stone:
The RoboCup Soccer Server and CMUnited: Implemented Infrastructure for MAS Research.
Agents Workshop on Infrastructure for Multi-Agent Systems 2000: 94-101 |
45 | EE | Peter Stone,
Manuela M. Veloso:
Layered Learning.
ECML 2000: 369-381 |
44 | EE | Peter Stone,
Patrick Riley,
Manuela M. Veloso:
Defining and Using Ideal Teammate and Opponent Agent Models: A Case Study in Robotic Soccer.
ICMAS 2000: 441-442 |
43 | | Peter Stone:
TPOT-RL Applied to Network Routing.
ICML 2000: 935-942 |
42 | EE | Minoru Asada,
Andreas Birk,
Enrico Pagello,
Masahiro Fujita,
Itsuki Noda,
Satoshi Tadokoro,
Dominique Duhaut,
Peter Stone,
Manuela M. Veloso,
Tucker R. Balch,
Hiroaki Kitano,
Brian Thomas:
Progress in RoboCup Soccer Research in 2000.
ISER 2000: 363-372 |
41 | EE | Peter Stone,
Minoru Asada,
Tucker R. Balch,
Masahiro Fujita,
Gerhard K. Kraetzschmar,
Henrik Hautop Lund,
Paul Scerri,
Satoshi Tadokoro,
Gordon Wyeth:
Overview of RoboCup-2000.
RoboCup 2000: 1-28 |
40 | EE | Peter Stone,
Richard S. Sutton,
Satinder P. Singh:
Reinforcement Learning for 3 vs. 2 Keepaway
RoboCup 2000: 249-258 |
39 | EE | David A. McAllester,
Peter Stone:
Keeping the Ball from CMUnited-99.
RoboCup 2000: 333-338 |
38 | EE | Patrick Riley,
Peter Stone,
David A. McAllester,
Manuela M. Veloso:
ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League.
RoboCup 2000: 489-492 |
37 | | Peter Stone,
Manuela M. Veloso,
Patrick Riley:
CMUNITED-98 Simulator Team.
AI Magazine 21(1): 20-28 (2000) |
36 | | Manuela M. Veloso,
Michael H. Bowling,
Sorin Achim,
Kwun Han,
Peter Stone:
CMUNITED-98: RoboCup-98 Small-Robot World Champion Team.
AI Magazine 21(1): 29-36 (2000) |
35 | | Silvia Coradeschi,
Lars Karlsson,
Peter Stone,
Tucker R. Balch,
Gerhard K. Kraetzschmar,
Minoru Asada:
Overview of RoboCup-99.
AI Magazine 21(3): 11-18 (2000) |
34 | | Peter Stone,
Patrick Riley,
Manuela M. Veloso:
The CMUnited-99 Champion Simulator Team.
AI Magazine 21(3): 33-40 (2000) |
33 | | Peter Stone,
Manuela M. Veloso:
Multiagent Systems: A Survey from a Machine Learning Perspective.
Auton. Robots 8(3): 345-383 (2000) |
1999 |
32 | | Manuela M. Veloso,
Michael H. Bowling,
Sorin Achim,
Kwun Han,
Peter Stone:
CMUnited-98: A Team of Robotic Soccer Agents.
AAAI/IAAI 1999: 891-896 |
31 | EE | Peter Stone,
Manuela M. Veloso:
Team-Partitioned, Opaque-Transition Reinforcement Learning.
Agents 1999: 206-212 |
30 | | Manuela M. Veloso,
Hiroaki Kitano,
Enrico Pagello,
Gerhard K. Kraetzschmar,
Peter Stone,
Tucker R. Balch,
Minoru Asada,
Silvia Coradeschi,
Lars Karlsson,
Masahiro Fujita:
Overview of RoboCup-99.
RoboCup 1999: 1-34 |
29 | | Peter Stone,
Patrick Riley,
Manuela M. Veloso:
The CMUnited-99 Champion Simulator Team.
RoboCup 1999: 35-48 |
28 | | Peter Stone,
Manuela M. Veloso:
Layered Learning and Flexible Teamwork in RoboCup Simulation Agents.
RoboCup 1999: 495-508 |
27 | EE | Peter Stone,
Manuela M. Veloso:
Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork.
Artif. Intell. 110(2): 241-273 (1999) |
26 | EE | Manuela M. Veloso,
Peter Stone,
Kwun Han:
The CMUnited-97 robotic soccer team: Perception and multi-agent control.
Robotics and Autonomous Systems 29(2-3): 133-143 (1999) |
1998 |
25 | | Peter Stone,
Manuela M. Veloso:
Task Decomposition and Dynamic Role Assignment for Real-Time Strategic Teamwork.
ATAL 1998: 293-308 |
24 | EE | Manuela M. Veloso,
Peter Stone,
Kwun Han:
The CMUnited-97 Robotic Socccer Team: Perception and Multiagent Control.
Agents 1998: 78-85 |
23 | EE | Peter Stone,
Manuela M. Veloso:
Using Decision Tree Confidence Factors for Multi-Agent Control.
Agents 1998: 86-91 |
22 | | Peter Stone,
Manuela M. Veloso:
Communication in Domains with Unreliable, Single-Channel, Low-Bandwidth Communication.
CRW 1998: 85-97 |
21 | | Manuela M. Veloso,
Peter Stone:
Individual and Collaborative Behaviors in a Team of Robotic Soccer Agents.
ICMAS 1998: 309-316 |
20 | EE | Peter Stone,
Manuela M. Veloso:
Team-Partitioned, Opaque-Transition Reinforced Learning.
RoboCup 1998: 261-272 |
19 | EE | Peter Stone,
Manuela M. Veloso,
Patrick Riley:
The CMUnited-98 Champion Simulator Team.
RoboCup 1998: 61-76 |
18 | EE | Manuela M. Veloso,
Michael H. Bowling,
Sorin Achim,
Kwun Han,
Peter Stone:
The CMUnited-98 Small-Robot Team.
RoboCup 1998: 77-92 |
17 | | Manuela M. Veloso,
Peter Stone,
Kwun Han:
CMUNITED-97: RoboCup-97 Small-Robot World Champion Team.
AI Magazine 19(3): 61-69 (1998) |
16 | EE | Peter Stone,
Manuela M. Veloso:
Layered Approach to Learning Client Behaviors in the Robocup Soccer Server.
Applied Artificial Intelligence 12(2-3): 165-188 (1998) |
15 | EE | Minoru Asada,
Peter Stone,
Hiroaki Kitano,
Barry Brian Werger,
Yasuo Kuniyoshi,
Alexis Drogoul,
Dominique Duhaut,
Manuela M. Veloso,
Hajime Asama,
Sho'ji Suzuki:
The Robocup Physical Agent Challenge: Phase I.
Applied Artificial Intelligence 12(2-3): 251-263 (1998) |
14 | EE | Peter Stone,
Manuela M. Veloso:
Towards collaborative and adversarial learning: a case study in robotic soccer.
Int. J. Hum.-Comput. Stud. 48(1): 83-104 (1998) |
1997 |
13 | | Peter Stone:
Layered Learning in Multiagent Systems.
AAAI/IAAI 1997: 819 |
12 | | Manuela M. Veloso,
Peter Stone,
Sorin Achim:
A Layered Approach for an Autonomous Robotic Soccer System.
Agents 1997: 530-531 |
11 | | Hiroaki Kitano,
Milind Tambe,
Peter Stone,
Manuela M. Veloso,
Silvia Coradeschi,
Eiichi Osawa,
Hitoshi Matsubara,
Itsuki Noda,
Minoru Asada:
The RoboCup Synthetic Agent Challenge 97.
IJCAI (1) 1997: 24-30 |
10 | | Manuela M. Veloso,
Peter Stone,
Kwun Han,
Sorin Achim:
The CMUnited-97 Small Robot Team.
RoboCup 1997: 242-256 |
9 | | Peter Stone,
Manuela M. Veloso:
The CMUnited-97 Simulator Team.
RoboCup 1997: 389-397 |
8 | | Minoru Asada,
Peter Stone,
Hiroaki Kitano,
Alexis Drogoul,
Dominique Duhaut,
Manuela M. Veloso,
Hajime Asama,
Sho'ji Suzuki:
The RoboCup Physical Agent Challenge: Goals and Protocols for Phase 1.
RoboCup 1997: 42-61 |
7 | | Hiroaki Kitano,
Milind Tambe,
Peter Stone,
Manuela M. Veloso,
Silvia Coradeschi,
Eiichi Osawa,
Hitoshi Matsubara,
Itsuki Noda,
Minoru Asada:
The RoboCup Synthetic Agent Challenge 97.
RoboCup 1997: 62-73 |
6 | | Peter Stone,
Manuela M. Veloso:
Using Decision Tree Confidence Factors for Multiagent Control.
RoboCup 1997: 99-111 |
1995 |
5 | EE | Peter Stone,
Manuela M. Veloso:
Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function.
NIPS 1995: 896-902 |
4 | EE | Manuela M. Veloso,
Peter Stone:
FLECS: Planning with a Flexible Commitment Strategy
CoRR abs/cs/9506101: (1995) |
3 | | Manuela M. Veloso,
Peter Stone:
FLECS: Planning with a Flexible Commitment Strategy.
J. Artif. Intell. Res. (JAIR) 3: 25-52 (1995) |
1994 |
2 | | Peter Stone,
Manuela M. Veloso,
Jim Blythe:
The Need for Different Domain-independent Heuristics.
AIPS 1994: 164-169 |
1990 |
1 | | Peter Stone:
Developing Networked Services for Libraries: The U. K. Experience.
Computer Networks and ISDN Systems 19(3-5): 343-349 (1990) |