Michael H. Bowling

Publication Activity (10 Years)

Years Active: 1998-2022
Publications (10 Years): 19

Top Topics

Regret Minimization

Imperfect Information

Variance Reduction

Top Venues

AAAI Workshop: Learning for General Competency in Video Games

Publications

Richard S. Sutton, Michael H. Bowling, Patrick M. Pilarski
The Alberta Plan for AI Research. CoRR (2022)
Marlos C. Machado, Marc G. Bellemare, Michael H. Bowling
A Laplacian Framework for Option Discovery in Reinforcement Learning. CoRR (2017)
Marlos C. Machado, Marc G. Bellemare, Michael H. Bowling
A Laplacian Framework for Option Discovery in Reinforcement Learning. ICML (2017)
Matej Moravcík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael H. Bowling
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker. CoRR (2017)
Viliam Lisý, Trevor Davis, Michael H. Bowling
Counterfactual Regret Minimization in Sequential Security Games. AAAI (2016)
Viliam Lisý, Michael H. Bowling
Eqilibrium Approximation Quality of Current No-Limit Poker Bots. CoRR (2016)
Marlos C. Machado, Michael H. Bowling
Learning Purposeful Behaviour in the Absence of Rewards. CoRR (2016)
Timothy Yee, Viliam Lisý, Michael H. Bowling
Monte Carlo Tree Search in Continuous Action Spaces with Execution Uncertainty. IJCAI (2016)
Kieran Milan, Joel Veness, James Kirkpatrick, Michael H. Bowling, Anna Koop, Demis Hassabis
The Forget-me-not Process. NIPS (2016)
Neil Burch, Martin Schmid, Matej Moravcik, Michael H. Bowling
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. CoRR (2016)
Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling
State of the Art Control of Atari Games Using Shallow Reinforcement Learning. AAMAS (2016)
Marlos C. Machado, Sriram Srinivasan, Michael H. Bowling
Domain-Independent Optimistic Initialization for Reinforcement Learning. AAAI Workshop: Learning for General Competency in Video Games (2015)
Erik Talvitie, Michael H. Bowling
Pairwise Relative Offset Features for Atari 2600 Games. AAAI Workshop: Learning for General Competency in Video Games (2015)
Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling
State of the Art Control of Atari Games Using Shallow Reinforcement Learning. CoRR (2015)
Nolan Bard, Deon Nicholas, Csaba Szepesvári, Michael H. Bowling
Decision-theoretic Clustering of Strategies. AAMAS (2015)
Viliam Lisý, Marc Lanctot, Michael H. Bowling
Online Monte Carlo Counterfactual Regret Minimization for Search in Imperfect Information Games. AAMAS (2015)
Kevin Waugh, Dustin Morrill, James Andrew Bagnell, Michael H. Bowling
Solving Games with Functional Regret Estimation. AAAI (2015)
Sriram Srinivasan, Erik Talvitie, Michael H. Bowling
Improving Exploration in UCT Using Local Manifolds. AAAI (2015)
James Neufeld, Dale Schuurmans, Michael H. Bowling
Variance Reduction via Antithetic Markov Chains. AISTATS (2015)
Nolan Bard, Michael Johanson, Michael H. Bowling
Asymmetric abstractions for adversarial settings. AAMAS (2014)
Arash Afkanpour, András György, Csaba Szepesvári, Michael H. Bowling
A Randomized Strategy for Learning to Combine Many Features CoRR (2012)
Marc Lanctot, Richard G. Gibson, Neil Burch, Martin Zinkevich, Michael H. Bowling
No-Regret Learning in Extensive-Form Games with Imperfect Recall CoRR (2012)
Joel Veness, Kee Siong Ng, Marcus Hutter, Michael H. Bowling
Context Tree Switching. DCC (2012)
D. Chris Rayner, Michael H. Bowling, Nathan R. Sturtevant
Euclidean Heuristic Optimization. AAAI (2011)
Joel Veness, Kee Siong Ng, Marcus Hutter, Michael H. Bowling
Context Tree Switching CoRR (2011)
Michael Johanson, Kevin Waugh, Michael H. Bowling, Martin Zinkevich
Accelerating Best Response Calculation in Large Extensive Games. IJCAI (2011)
Arash Afkanpour, Csaba Szepesvári, Michael H. Bowling
Alignment Based Kernel Learning with a Continuous Set of Base Kernels CoRR (2011)
Michael H. Bowling, Manuela M. Veloso
Existence of Multiagent Equilibria with Limited Agents CoRR (2011)
Joel Veness, Marc Lanctot, Michael H. Bowling
Variance Reduction in Monte-Carlo Tree Search. NIPS (2011)
Martin Zinkevich, Michael H. Bowling, Michael Wunder
The lemonade stand game competition: solving unsolvable games. SIGecom Exch. 10 (1) (2011)
Daniel J. Lizotte, Michael H. Bowling, Susan A. Murphy
Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis. ICML (2010)
Kevin Waugh, Martin Zinkevich, Michael Johanson, Morgan Kan, David Schnizlein, Michael H. Bowling
A Practical Use of Imperfect Recall. SARA (2009)
Martha White, Michael H. Bowling
Learning a Value Analysis Tool for Agent Evaluation. IJCAI (2009)
David Schnizlein, Michael H. Bowling, Duane Szafron
Probabilistic State Translation in Extensive Games with Large Action Sets. IJCAI (2009)
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
A demonstration of the Polaris poker system. AAMAS (2) (2009)
Marc Lanctot, Kevin Waugh, Martin Zinkevich, Michael H. Bowling
Monte Carlo Sampling for Regret Minimization in Extensive Games. NIPS (2009)
Michael Johanson, Michael H. Bowling
Data Biased Robust Counter Strategies. AISTATS (2009)
Kevin Waugh, Nolan Bard, Michael H. Bowling
Strategy Grafting in Extensive Games. NIPS (2009)
Kevin Waugh, David Schnizlein, Michael H. Bowling, Duane Szafron
Abstraction pathologies in extensive games. AAMAS (2) (2009)
Maria Cutumisu, Duane Szafron, Michael H. Bowling, Richard S. Sutton
Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games. AIIDE (2008)
Michael Biggs, Ali Ghodsi, Dana F. Wilkinson, Michael H. Bowling
Scalable Action Respecting Embedding. ISAIM (2008)
Michael H. Bowling, Alborz Geramifard, David Wingate
Sigma point policy iteration. AAMAS (1) (2008)
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)
Michael H. Bowling, Michael Johanson, Neil Burch, Duane Szafron
Strategy evaluation in extensive games with importance sampling. ICML (2008)
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)
Umar Syed, Michael H. Bowling, Robert E. Schapire
Apprenticeship learning using linear programming. ICML (2008)
Richard S. Sutton, Csaba Szepesvári, Alborz Geramifard, Michael H. Bowling
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping. UAI (2008)
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans
Stable Dual Dynamic Programming. NIPS (2007)
Nolan Bard, Michael H. Bowling
Particle Filtering for Dynamic Agent Modelling in Simplified Poker. AAAI (2007)
Martin Zinkevich, Michael H. Bowling, Neil Burch
A New Algorithm for Generating Equilibria in Massive Zero-Sum Games. AAAI (2007)
Michael Johanson, Martin Zinkevich, Michael H. Bowling
Computing Robust Counter-Strategies. NIPS (2007)
Martin Zinkevich, Michael Johanson, Michael H. Bowling, Carmelo Piccione
Regret Minimization in Games with Incomplete Information. NIPS (2007)
Daniel J. Lizotte, Tao Wang, Michael H. Bowling, Dale Schuurmans
Automatic Gait Optimization with Gaussian Process Regression. IJCAI (2007)
Achim Rettinger, Martin Zinkevich, Michael H. Bowling
Boosting Expert Ensembles for Rapid Concept Recall. AAAI (2006)
Nathan R. Sturtevant, Martin Zinkevich, Michael H. Bowling
Prob-Maxn: Playing N-Player Games with Opponent Models. AAAI (2006)
Martin Zinkevich, Michael H. Bowling, Nolan Bard, Morgan Kan, Darse Billings
Optimal Unbiased Estimators for Evaluating Agent Performance. AAAI (2006)
Armita Kaboli, Michael H. Bowling, Petr Musílek
Bayesian Calibration for Monte Carlo Localization. AAAI (2006)
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale Schuurmans
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning. AAAI (2006)
Nathan R. Sturtevant, Michael H. Bowling
Robust game play against unknown opponents. AAMAS (2006)
Michael H. Bowling, Peter McCracken, Michael James, James Neufeld, Dana F. Wilkinson
Learning predictive state representations using non-blind policies. ICML (2006)
Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi
Subjective Mapping. AAAI (2006)
Alborz Geramifard, Michael H. Bowling, Martin Zinkevich, Richard S. Sutton
iLSTD: Eligibility Traces and Convergence Analysis. NIPS (2006)
Michael H. Bowling, Johannes Fürnkranz, Thore Graepel, Ron Musick
Machine learning and games. Mach. Learn. 63 (3) (2006)
Alborz Geramifard, Michael H. Bowling, Richard S. Sutton
Incremental Least-Squares Temporal Difference Learning. AAAI (2006)
Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi, Adam Milstein
Subjective Localization with Action Respecting Embedding. ISRR (2005)
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans
Bayesian sparse sampling for on-line reward optimization. ICML (2005)
Peter McCracken, Michael H. Bowling
Online Discovery and Learning of Predictive State Representations. NIPS (2005)
Michael H. Bowling, Peter McCracken
Coordination and Adaptation in Impromptu Teams. AAAI (2005)
Finnegan Southey, Michael H. Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner
Bayes? Bluff: Opponent Modelling in Poker. UAI (2005)
Dana F. Wilkinson, Michael H. Bowling, Ali Ghodsi
Learning Subjective Representations for Planning. IJCAI (2005)
Michael H. Bowling, Ali Ghodsi, Dana F. Wilkinson
Action respecting embedding. ICML (2005)
Michael H. Bowling
Convergence and No-Regret in Multiagent Learning. NIPS (2004)
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)
Michael H. Bowling, Manuela M. Veloso
Existence of Multiagent Equilibria with Limited Agents. J. Artif. Intell. Res. 22 (2004)
Michael H. Bowling, Brett Browning, Manuela M. Veloso
Plays as Effective Multiagent Plans Enabling Opponent-Adaptive Play Selection. ICAPS (2004)
James Bruce, Michael H. Bowling, Brett Browning, Manuela M. Veloso
Multi-robot team response to a multi-robot opponent team. ICRA (2003)
Michael H. Bowling, Manuela M. Veloso
Simultaneous Adversarial Multi-Robot Learning. IJCAI (2003)
Michael H. Bowling, Rune M. Jensen, Manuela M. Veloso
A Formalization of Equilibria for Multiagent Planning. IJCAI (2003)
Michael H. Bowling, Brett Browning, Allen Chang, Manuela M. Veloso
Plays as Team Plans for Coordination and Adaptation. RoboCup (2003)
Michael H. Bowling, Manuela M. Veloso
Multiagent learning using a variable learning rate. Artif. Intell. 136 (2) (2002)
Brett Browning, Michael H. Bowling, Manuela M. Veloso
Improbability Filtering for Rejecting False Positives. ICRA (2002)
Michael H. Bowling
Approximation Techniques in Multiagent Learning. SARA (2002)
Gal A. Kaminka, Michael H. Bowling
Towards robust teams with many agents. AAMAS (2002)
Brett Browning, Michael H. Bowling, James Bruce, Ravi Balasubramanian, Manuela M. Veloso
CM-Dragons'01 - Vision-Based Motion Tracking and Heteregenous Robots. RoboCup (2001)
Michael H. Bowling, Manuela M. Veloso
Convergence of Gradient Dynamics with a Variable Learning Rate. ICML (2001)
Michael H. Bowling, Manuela M. Veloso
Rational and Convergent Learning in Stochastic Games. IJCAI (2001)
Michael H. Bowling
Convergence Problems of General-Sum Multiagent Reinforcement Learning. ICML (2000)
Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
CMUNITED-98: RoboCup-98 Small-Robot World Champion Team. AI Mag. 21 (1) (2000)
Michael H. Bowling, Manuela M. Veloso
Motion Control in Dynamic Multi-Robot Environments. RoboCup (1999)
Manuela M. Veloso, Michael H. Bowling, Sorin Achim
CMUnited-99: Small-Size Robot Team. RoboCup (1999)
Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
CMUnited-98: A Team of Robotic Soccer Agents. AAAI/IAAI (1999)
Michael H. Bowling, Manuela M. Veloso
Bounding the Suboptimality of Reusing Subproblem. IJCAI (1999)
Manuela M. Veloso, Michael H. Bowling, Peter Stone
The CMUnited-98 champion small-robot team. Adv. Robotics 13 (8) (1998)
Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
The CMUnited-98 Small-Robot Team. RoboCup (1998)