Michael H. Bowling

94 papers A* 36A 11B 1C 6Misc 1Journal 18Unranked 21

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	The Alberta Plan for AI Research. CoRR Richard S. Sutton, Michael H. Bowling, Patrick M. Pilarski
2017	A*	`conf`	A Laplacian Framework for Option Discovery in Reinforcement Learning. ICML Marlos C. Machado, Marc G. Bellemare, Michael H. Bowling
2017	J	`jnl`	A Laplacian Framework for Option Discovery in Reinforcement Learning. CoRR Marlos C. Machado, Marc G. Bellemare, Michael H. Bowling
2017	J	`jnl`	DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker. CoRR Matej Moravcík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael H. Bowling
2016	J	`jnl`	AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. CoRR Neil Burch, Martin Schmid, Matej Moravcik, Michael H. Bowling
2016	A*	`conf`	Counterfactual Regret Minimization in Sequential Security Games. AAAI Viliam Lisý, Trevor Davis, Michael H. Bowling
2016	J	`jnl`	Eqilibrium Approximation Quality of Current No-Limit Poker Bots. CoRR Viliam Lisý, Michael H. Bowling
2016	J	`jnl`	Learning Purposeful Behaviour in the Absence of Rewards. CoRR Marlos C. Machado, Michael H. Bowling
2016	A*	`conf`	Monte Carlo Tree Search in Continuous Action Spaces with Execution Uncertainty. IJCAI Timothy Yee, Viliam Lisý, Michael H. Bowling
2016	A	`conf`	State of the Art Control of Atari Games Using Shallow Reinforcement Learning. AAMAS Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling
2016	—	`conf`	The Forget-me-not Process. NIPS Kieran Milan, Joel Veness, James Kirkpatrick, Michael H. Bowling, Anna Koop, Demis Hassabis
2015	A	`conf`	Decision-theoretic Clustering of Strategies. AAMAS Nolan Bard, Deon Nicholas, Csaba Szepesvári, Michael H. Bowling
2015	—	`conf`	Domain-Independent Optimistic Initialization for Reinforcement Learning. AAAI Workshop: Learning for General Competency in Video Games Marlos C. Machado, Sriram Srinivasan, Michael H. Bowling
2015	A*	`conf`	Improving Exploration in UCT Using Local Manifolds. AAAI Sriram Srinivasan, Erik Talvitie, Michael H. Bowling
2015	A	`conf`	Online Monte Carlo Counterfactual Regret Minimization for Search in Imperfect Information Games. AAMAS Viliam Lisý, Marc Lanctot, Michael H. Bowling
2015	—	`conf`	Pairwise Relative Offset Features for Atari 2600 Games. AAAI Workshop: Learning for General Competency in Video Games Erik Talvitie, Michael H. Bowling
2015	A*	`conf`	Solving Games with Functional Regret Estimation. AAAI Kevin Waugh, Dustin Morrill, James Andrew Bagnell, Michael H. Bowling
2015	J	`jnl`	State of the Art Control of Atari Games Using Shallow Reinforcement Learning. CoRR Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling
2015	A	`conf`	Variance Reduction via Antithetic Markov Chains. AISTATS James Neufeld, Dale Schuurmans, Michael H. Bowling
2014	A	`conf`	Asymmetric abstractions for adversarial settings. AAMAS Nolan Bard, Michael Johanson, Michael H. Bowling
2012	J	`jnl`	A Randomized Strategy for Learning to Combine Many Features CoRR Arash Afkanpour, András György, Csaba Szepesvári, Michael H. Bowling
2012	B	`conf`	Context Tree Switching. DCC Joel Veness, Kee Siong Ng, Marcus Hutter, Michael H. Bowling
2012	J	`jnl`	No-Regret Learning in Extensive-Form Games with Imperfect Recall CoRR Marc Lanctot, Richard G. Gibson, Neil Burch, Martin Zinkevich, Michael H. Bowling
2011	A*	`conf`	Accelerating Best Response Calculation in Large Extensive Games. IJCAI Michael Johanson, Kevin Waugh, Michael H. Bowling, Martin Zinkevich
2011	J	`jnl`	Alignment Based Kernel Learning with a Continuous Set of Base Kernels CoRR Arash Afkanpour, Csaba Szepesvári, Michael H. Bowling
2011	J	`jnl`	Context Tree Switching CoRR Joel Veness, Kee Siong Ng, Marcus Hutter, Michael H. Bowling
2011	A*	`conf`	Euclidean Heuristic Optimization. AAAI D. Chris Rayner, Michael H. Bowling, Nathan R. Sturtevant
2011	J	`jnl`	Existence of Multiagent Equilibria with Limited Agents CoRR Michael H. Bowling, Manuela M. Veloso
2011	J	`jnl`	The lemonade stand game competition: solving unsolvable games. SIGecom Exch. Martin Zinkevich, Michael H. Bowling, Michael Wunder
2011	—	`conf`	Variance Reduction in Monte-Carlo Tree Search. NIPS Joel Veness, Marc Lanctot, Michael H. Bowling
2010	A*	`conf`	Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis. ICML Daniel J. Lizotte, Michael H. Bowling, Susan A. Murphy
2009	—	`conf`	A Practical Use of Imperfect Recall. SARA Kevin Waugh, Martin Zinkevich, Michael Johanson, Morgan Kan, David Schnizlein, Michael H. Bowling
2009	—	`conf`	A demonstration of the Polaris poker system. AAMAS (2) Michael H. Bowling, Nicholas Abou Risk, Nolan Bard, Darse Billings, Neil Burch, Joshua Davidson, John Alexander Hawkin, Robert Holte, Michael Johanson, Morgan Kan, Bryce Paradis, Jonathan Schaeffer, David Schnizlein, Duane Szafron, Kevin Waugh, Martin Zinkevich
2009	—	`conf`	Abstraction pathologies in extensive games. AAMAS (2) Kevin Waugh, David Schnizlein, Michael H. Bowling, Duane Szafron
2009	A	`conf`	Data Biased Robust Counter Strategies. AISTATS Michael Johanson, Michael H. Bowling
2009	A*	`conf`	Learning a Value Analysis Tool for Agent Evaluation. IJCAI Martha White, Michael H. Bowling
2009	—	`conf`	Monte Carlo Sampling for Regret Minimization in Extensive Games. NIPS Marc Lanctot, Kevin Waugh, Martin Zinkevich, Michael H. Bowling
2009	A*	`conf`	Probabilistic State Translation in Extensive Games with Large Action Sets. IJCAI David Schnizlein, Michael H. Bowling, Duane Szafron
2009	—	`conf`	Strategy Grafting in Extensive Games. NIPS Kevin Waugh, Nolan Bard, Michael H. Bowling
2008	—	`conf`	Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games. AIIDE Maria Cutumisu, Duane Szafron, Michael H. Bowling, Richard S. Sutton
2008	A*	`conf`	Apprenticeship learning using linear programming. ICML Umar Syed, Michael H. Bowling, Robert E. Schapire
2008	—	`conf`	Autonomous geocaching: navigation and goal finding in outdoor domains. AAMAS (1) James Neufeld, Michael Sokolsky, Jason Roberts, Adam Milstein, Stephen Walsh, Michael H. Bowling
2008	A	`conf`	Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping. UAI Richard S. Sutton, Csaba Szepesvári, Alborz Geramifard, Michael H. Bowling
2008	A	`conf`	Multidisciplinary students and instructors: a second-year games course. SIGCSE Nathan R. Sturtevant, H. James Hoover, Jonathan Schaeffer, Sean Gouglas, Michael H. Bowling, Finnegan Southey, Matthew Bouchard, Ghassan Zabaneh
2008	Misc	`conf`	Scalable Action Respecting Embedding. ISAIM Michael Biggs, Ali Ghodsi, Dana F. Wilkinson, Michael H. Bowling
2008	—	`conf`	Sigma point policy iteration. AAMAS (1) Michael H. Bowling, Alborz Geramifard, David Wingate
2008	A*	`conf`	Strategy evaluation in extensive games with importance sampling. ICML Michael H. Bowling, Michael Johanson, Neil Burch, Duane Szafron
2007	A*	`conf`	A New Algorithm for Generating Equilibria in Massive Zero-Sum Games. AAAI Martin Zinkevich, Michael H. Bowling, Neil Burch
2007	A*	`conf`	Automatic Gait Optimization with Gaussian Process Regression. IJCAI Daniel J. Lizotte, Tao Wang, Michael H. Bowling, Dale Schuurmans
2007	—	`conf`	Computing Robust Counter-Strategies. NIPS Michael Johanson, Martin Zinkevich, Michael H. Bowling
2007	A*	`conf`	Particle Filtering for Dynamic Agent Modelling in Simplified Poker. AAAI Nolan Bard, Michael H. Bowling
2007	—	`conf`	Regret Minimization in Games with Incomplete Information. NIPS Martin Zinkevich, Michael Johanson, Michael H. Bowling, Carmelo Piccione
2007	—	`conf`	Stable Dual Dynamic Programming. NIPS Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans
2006	A*	`conf`	Bayesian Calibration for Monte Carlo Localization. AAAI Armita Kaboli, Michael H. Bowling, Petr Musílek
2006	A*	`conf`	Boosting Expert Ensembles for Rapid Concept Recall. AAAI Achim Rettinger, Martin Zinkevich, Michael H. Bowling
2006	A*	`conf`	Compact, Convex Upper Bound Iteration for Approximate POMDP Planning. AAAI Tao Wang, Pascal Poupart, Michael H. Bowling, Dale Schuurmans
2006	A*	`conf`	Incremental Least-Squares Temporal Difference Learning. AAAI Alborz Geramifard, Michael H. Bowling, Richard S. Sutton
2006	A*	`conf`	Learning predictive state representations using non-blind policies. ICML Michael H. Bowling, Peter McCracken, Michael James, James Neufeld, Dana F. Wilkinson
2006	J	`jnl`	Machine learning and games. Mach. Learn. Michael H. Bowling, Johannes Fürnkranz, Thore Graepel, Ron Musick
2006	A*	`conf`	Optimal Unbiased Estimators for Evaluating Agent Performance. AAAI Martin Zinkevich, Michael H. Bowling, Nolan Bard, Morgan Kan, Darse Billings
2006	A*	`conf`	Prob-Maxn: Playing N-Player Games with Opponent Models. AAAI Nathan R. Sturtevant, Martin Zinkevich, Michael H. Bowling
2006	A	`conf`	Robust game play against unknown opponents. AAMAS Nathan R. Sturtevant, Michael H. Bowling
2006	A*	`conf`	Subjective Mapping. AAAI Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi
2006	—	`conf`	iLSTD: Eligibility Traces and Convergence Analysis. NIPS Alborz Geramifard, Michael H. Bowling, Martin Zinkevich, Richard S. Sutton
2005	A*	`conf`	Action respecting embedding. ICML Michael H. Bowling, Ali Ghodsi, Dana F. Wilkinson
2005	A	`conf`	Bayes? Bluff: Opponent Modelling in Poker. UAI Finnegan Southey, Michael H. Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner
2005	A*	`conf`	Bayesian sparse sampling for on-line reward optimization. ICML Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans
2005	A*	`conf`	Coordination and Adaptation in Impromptu Teams. AAAI Michael H. Bowling, Peter McCracken
2005	A*	`conf`	Learning Subjective Representations for Planning. IJCAI Dana F. Wilkinson, Michael H. Bowling, Ali Ghodsi
2005	—	`conf`	Online Discovery and Learning of Predictive State Representations. NIPS Peter McCracken, Michael H. Bowling
2005	C	`conf`	Subjective Localization with Action Respecting Embedding. ISRR Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi, Adam Milstein
2004	—	`conf`	Convergence and No-Regret in Multiagent Learning. NIPS Michael H. Bowling
2004	J	`jnl`	Existence of Multiagent Equilibria with Limited Agents. J. Artif. Intell. Res. Michael H. Bowling, Manuela M. Veloso
2004	—	`conf`	Game-Tree Search with Adaptation in Stochastic Imperfect-Information Games. Computers and Games Darse Billings, Aaron Davidson, Terence Schauenberg, Neil Burch, Michael H. Bowling, Robert C. Holte, Jonathan Schaeffer, Duane Szafron
2004	A*	`conf`	Plays as Effective Multiagent Plans Enabling Opponent-Adaptive Play Selection. ICAPS Michael H. Bowling, Brett Browning, Manuela M. Veloso
2003	A*	`conf`	A Formalization of Equilibria for Multiagent Planning. IJCAI Michael H. Bowling, Rune Møller Jensen, Manuela M. Veloso
2003	A*	`conf`	Multi-robot team response to a multi-robot opponent team. ICRA James Bruce, Michael H. Bowling, Brett Browning, Manuela M. Veloso
2003	C	`conf`	Plays as Team Plans for Coordination and Adaptation. RoboCup Michael H. Bowling, Brett Browning, Allen Chang, Manuela M. Veloso
2003	A*	`conf`	Simultaneous Adversarial Multi-Robot Learning. IJCAI Michael H. Bowling, Manuela M. Veloso
2002	—	`conf`	Approximation Techniques in Multiagent Learning. SARA Michael H. Bowling
2002	A*	`conf`	Improbability Filtering for Rejecting False Positives. ICRA Brett Browning, Michael H. Bowling, Manuela M. Veloso
2002	J	`jnl`	Multiagent learning using a variable learning rate. Artif. Intell. Michael H. Bowling, Manuela M. Veloso
2002	A	`conf`	Towards robust teams with many agents. AAMAS Gal A. Kaminka, Michael H. Bowling
2001	C	`conf`	CM-Dragons'01 - Vision-Based Motion Tracking and Heteregenous Robots. RoboCup Brett Browning, Michael H. Bowling, James Bruce, Ravi Balasubramanian, Manuela M. Veloso
2001	A*	`conf`	Convergence of Gradient Dynamics with a Variable Learning Rate. ICML Michael H. Bowling, Manuela M. Veloso
2001	A*	`conf`	Rational and Convergent Learning in Stochastic Games. IJCAI Michael H. Bowling, Manuela M. Veloso
2000	J	`jnl`	CMUNITED-98: RoboCup-98 Small-Robot World Champion Team. AI Mag. Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
2000	A*	`conf`	Convergence Problems of General-Sum Multiagent Reinforcement Learning. ICML Michael H. Bowling
1999	A*	`conf`	Bounding the Suboptimality of Reusing Subproblem. IJCAI Michael H. Bowling, Manuela M. Veloso
1999	—	`conf`	CMUnited-98: A Team of Robotic Soccer Agents. AAAI/IAAI Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
1999	C	`conf`	CMUnited-99: Small-Size Robot Team. RoboCup Manuela M. Veloso, Michael H. Bowling, Sorin Achim
1999	C	`conf`	Motion Control in Dynamic Multi-Robot Environments. RoboCup Michael H. Bowling, Manuela M. Veloso
1998	C	`conf`	The CMUnited-98 Small-Robot Team. RoboCup Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
1998	J	`jnl`	The CMUnited-98 champion small-robot team. Adv. Robotics Manuela M. Veloso, Michael H. Bowling, Peter Stone