2008 | ||
---|---|---|
53 | EE | Michael H. Bowling, Alborz Geramifard, David Wingate: Sigma point policy iteration. AAMAS (1) 2008: 379-386 |
52 | EE | James Neufeld, Michael Sokolsky, Jason Roberts, Adam Milstein, Stephen Walsh, Michael H. Bowling: Autonomous geocaching: navigation and goal finding in outdoor domains. AAMAS (1) 2008: 47-54 |
51 | Maria Cutumisu, Duane Szafron, Michael H. Bowling, Richard S. Sutton: Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games. AIIDE 2008 | |
50 | EE | Umar Syed, Michael H. Bowling, Robert E. Schapire: Apprenticeship learning using linear programming. ICML 2008: 1032-1039 |
49 | EE | Michael H. Bowling, Michael Johanson, Neil Burch, Duane Szafron: Strategy evaluation in extensive games with importance sampling. ICML 2008: 72-79 |
48 | EE | Nathan R. Sturtevant, H. James Hoover, Jonathan Schaeffer, Sean Gouglas, Michael H. Bowling, Finnegan Southey, Matthew Bouchard, Ghassan Zabaneh: Multidisciplinary students and instructors: a second-year games course. SIGCSE 2008: 383-387 |
47 | EE | Richard S. Sutton, Csaba Szepesvári, Alborz Geramifard, Michael H. Bowling: Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping. UAI 2008: 528-536 |
2007 | ||
46 | Nolan Bard, Michael H. Bowling: Particle Filtering for Dynamic Agent Modelling in Simplified Poker. AAAI 2007: 515-514 | |
45 | Martin Zinkevich, Michael H. Bowling, Neil Burch: A New Algorithm for Generating Equilibria in Massive Zero-Sum Games. AAAI 2007: 788- | |
44 | EE | Daniel J. Lizotte, Tao Wang, Michael H. Bowling, Dale Schuurmans: Automatic Gait Optimization with Gaussian Process Regression. IJCAI 2007: 944-949 |
43 | EE | Michael Johanson, Martin Zinkevich, Michael H. Bowling: Computing Robust Counter-Strategies. NIPS 2007 |
42 | EE | Martin Zinkevich, Michael Johanson, Michael H. Bowling, Carmelo Piccione: Regret Minimization in Games with Incomplete Information. NIPS 2007 |
41 | EE | Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans: Stable Dual Dynamic Programming. NIPS 2007 |
2006 | ||
40 | Armita Kaboli, Michael H. Bowling, Petr Musílek: Bayesian Calibration for Monte Carlo Localization. AAAI 2006 | |
39 | Achim Rettinger, Martin Zinkevich, Michael H. Bowling: Boosting Expert Ensembles for Rapid Concept Recall. AAAI 2006 | |
38 | Tao Wang, Pascal Poupart, Michael H. Bowling, Dale Schuurmans: Compact, Convex Upper Bound Iteration for Approximate POMDP Planning. AAAI 2006 | |
37 | Alborz Geramifard, Michael H. Bowling, Richard S. Sutton: Incremental Least-Squares Temporal Difference Learning. AAAI 2006 | |
36 | Martin Zinkevich, Michael H. Bowling, Nolan Bard, Morgan Kan, Darse Billings: Optimal Unbiased Estimators for Evaluating Agent Performance. AAAI 2006 | |
35 | Nathan R. Sturtevant, Martin Zinkevich, Michael H. Bowling: Prob-Maxn: Playing N-Player Games with Opponent Models. AAAI 2006 | |
34 | Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi: Subjective Mapping. AAAI 2006 | |
33 | EE | Nathan R. Sturtevant, Michael H. Bowling: Robust game play against unknown opponents. AAMAS 2006: 713-719 |
32 | EE | Michael H. Bowling, Peter McCracken, Michael James, James Neufeld, Dana F. Wilkinson: Learning predictive state representations using non-blind policies. ICML 2006: 129-136 |
31 | EE | Alborz Geramifard, Michael H. Bowling, Martin Zinkevich, Richard S. Sutton: iLSTD: Eligibility Traces and Convergence Analysis. NIPS 2006: 441-448 |
30 | EE | Michael H. Bowling, Johannes Fürnkranz, Thore Graepel, Ron Musick: Machine learning and games. Machine Learning 63(3): 211-215 (2006) |
2005 | ||
29 | Michael H. Bowling, Peter McCracken: Coordination and Adaptation in Impromptu Teams. AAAI 2005: 53-58 | |
28 | EE | Michael H. Bowling, Ali Ghodsi, Dana F. Wilkinson: Action respecting embedding. ICML 2005: 65-72 |
27 | EE | Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans: Bayesian sparse sampling for on-line reward optimization. ICML 2005: 956-963 |
26 | EE | Dana F. Wilkinson, Michael H. Bowling, Ali Ghodsi: Learning Subjective Representations for Planning. IJCAI 2005: 889-894 |
25 | EE | Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi, Adam Milstein: Subjective Localization with Action Respecting Embedding. ISRR 2005: 190-202 |
24 | EE | Peter McCracken, Michael H. Bowling: Online Discovery and Learning of Predictive State Representations. NIPS 2005 |
23 | EE | Finnegan Southey, Michael H. Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner: Bayes? Bluff: Opponent Modelling in Poker. UAI 2005: 550-558 |
2004 | ||
22 | EE | Darse Billings, Aaron Davidson, Terence Schauenberg, Neil Burch, Michael H. Bowling, Robert C. Holte, Jonathan Schaeffer, Duane Szafron: Game-Tree Search with Adaptation in Stochastic Imperfect-Information Games. Computers and Games 2004: 21-34 |
21 | Michael H. Bowling, Brett Browning, Manuela M. Veloso: Plays as Effective Multiagent Plans Enabling Opponent-Adaptive Play Selection. ICAPS 2004: 376-383 | |
20 | EE | Michael H. Bowling: Convergence and No-Regret in Multiagent Learning. NIPS 2004 |
19 | EE | Michael H. Bowling, Manuela M. Veloso: Existence of Multiagent Equilibria with Limited Agents. J. Artif. Intell. Res. (JAIR) 22: 353-384 (2004) |
2003 | ||
18 | James Bruce, Michael H. Bowling, Brett Browning, Manuela M. Veloso: Multi-robot team response to a multi-robot opponent team. ICRA 2003: 2281-2286 | |
17 | Michael H. Bowling, Rune M. Jensen, Manuela M. Veloso: A Formalization of Equilibria for Multiagent Planning. IJCAI 2003: 1460-1462 | |
16 | Michael H. Bowling, Manuela M. Veloso: Simultaneous Adversarial Multi-Robot Learning. IJCAI 2003: 699-704 | |
15 | EE | Michael H. Bowling, Brett Browning, Allen Chang, Manuela M. Veloso: Plays as Team Plans for Coordination and Adaptation. RoboCup 2003: 686-693 |
2002 | ||
14 | EE | Gal A. Kaminka, Michael H. Bowling: Towards robust teams with many agents. AAMAS 2002: 729-736 |
13 | Brett Browning, Michael H. Bowling, Manuela M. Veloso: Improbability Filtering for Rejecting False Positives. ICRA 2002: 3038-3043 | |
12 | EE | Michael H. Bowling: Approximation Techniques in Multiagent Learning. SARA 2002: 328-329 |
11 | EE | Michael H. Bowling, Manuela M. Veloso: Multiagent learning using a variable learning rate. Artif. Intell. 136(2): 215-250 (2002) |
2001 | ||
10 | Michael H. Bowling, Manuela M. Veloso: Convergence of Gradient Dynamics with a Variable Learning Rate. ICML 2001: 27-34 | |
9 | Michael H. Bowling, Manuela M. Veloso: Rational and Convergent Learning in Stochastic Games. IJCAI 2001: 1021-1026 | |
8 | EE | Brett Browning, Michael H. Bowling, James Bruce, Ravi Balasubramanian, Manuela M. Veloso: CM-Dragons'01 - Vision-Based Motion Tracking and Heteregenous Robots. RoboCup 2001: 567-570 |
2000 | ||
7 | Michael H. Bowling: Convergence Problems of General-Sum Multiagent Reinforcement Learning. ICML 2000: 89-94 | |
6 | 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) | |
1999 | ||
5 | 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 | |
4 | Michael H. Bowling, Manuela M. Veloso: Bounding the Suboptimality of Reusing Subproblem. IJCAI 1999: 1340-1347 | |
3 | Michael H. Bowling, Manuela M. Veloso: Motion Control in Dynamic Multi-Robot Environments. RoboCup 1999: 222-230 | |
2 | Manuela M. Veloso, Michael H. Bowling, Sorin Achim: CMUnited-99: Small-Size Robot Team. RoboCup 1999: 661-662 | |
1998 | ||
1 | EE | Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone: The CMUnited-98 Small-Robot Team. RoboCup 1998: 77-92 |