Bowling, Michael H.

38 publications

AAAI 2016 Counterfactual Regret Minimization in Sequential Security Games Viliam Lisý, Trevor Davis, Michael H. Bowling

IJCAI 2016 Monte Carlo Tree Search in Continuous Action Spaces with Execution Uncertainty Timothy Yee, Viliam Lisý, Michael H. Bowling

AAAI 2015 Improving Exploration in UCT Using Local Manifolds Sriram Srinivasan, Erik Talvitie, Michael H. Bowling

AAAI 2015 Solving Games with Functional Regret Estimation Kevin Waugh, Dustin Morrill, James Andrew Bagnell, Michael H. Bowling

AISTATS 2015 Variance Reduction via Antithetic Markov Chains James Neufeld, Dale Schuurmans, Michael H. Bowling

IJCAI 2011 Accelerating Best Response Calculation in Large Extensive Games Michael Johanson, Kevin Waugh, Michael H. Bowling, Martin Zinkevich

AAAI 2011 Euclidean Heuristic Optimization D. Chris Rayner, Michael H. Bowling, Nathan R. Sturtevant

ICML 2010 Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis Daniel J. Lizotte, Michael H. Bowling, Susan A. Murphy

IJCAI 2009 Learning a Value Analysis Tool for Agent Evaluation Martha White, Michael H. Bowling

IJCAI 2009 Probabilistic State Translation in Extensive Games with Large Action Sets David Schnizlein, Michael H. Bowling, Duane Szafron

ICML 2008 Apprenticeship Learning Using Linear Programming Umar Syed, Michael H. Bowling, Robert E. Schapire

UAI 2008 Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping Richard S. Sutton, Csaba Szepesvári, Alborz Geramifard, Michael H. Bowling

ICML 2008 Strategy Evaluation in Extensive Games with Importance Sampling Michael H. Bowling, Michael Johanson, Neil Burch, Duane Szafron

AAAI 2007 A New Algorithm for Generating Equilibria in Massive Zero-Sum Games Martin Zinkevich, Michael H. Bowling, Neil Burch

IJCAI 2007 Automatic Gait Optimization with Gaussian Process Regression Daniel J. Lizotte, Tao Wang, Michael H. Bowling, Dale Schuurmans

AAAI 2007 Particle Filtering for Dynamic Agent Modelling in Simplified Poker Nolan Bard, Michael H. Bowling

AAAI 2006 Bayesian Calibration for Monte Carlo Localization Armita Kaboli, Michael H. Bowling, Petr Musílek

AAAI 2006 Boosting Expert Ensembles for Rapid Concept Recall Achim Rettinger, Martin Zinkevich, Michael H. Bowling

AAAI 2006 Compact, Convex Upper Bound Iteration for Approximate POMDP Planning Tao Wang, Pascal Poupart, Michael H. Bowling, Dale Schuurmans

AAAI 2006 Incremental Least-Squares Temporal Difference Learning Alborz Geramifard, Michael H. Bowling, Richard S. Sutton

ICML 2006 Learning Predictive State Representations Using Non-Blind Policies Michael H. Bowling, Peter McCracken, Michael James, James Neufeld, Dana F. Wilkinson

MLJ 2006 Machine Learning and Games Michael H. Bowling, Johannes Fürnkranz, Thore Graepel, Ron Musick

AAAI 2006 Optimal Unbiased Estimators for Evaluating Agent Performance Martin Zinkevich, Michael H. Bowling, Nolan Bard, Morgan Kan, Darse Billings

AAAI 2006 Prob-Maxn: Playing N-Player Games with Opponent Models Nathan R. Sturtevant, Martin Zinkevich, Michael H. Bowling

AAAI 2006 Subjective Mapping Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi

ICML 2005 Action Respecting Embedding Michael H. Bowling, Ali Ghodsi, Dana F. Wilkinson

UAI 2005 Bayes? Bluff: Opponent Modelling in Poker Finnegan Southey, Michael H. Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner

ICML 2005 Bayesian Sparse Sampling for On-Line Reward Optimization Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans

AAAI 2005 Coordination and Adaptation in Impromptu Teams Michael H. Bowling, Peter McCracken

IJCAI 2005 Learning Subjective Representations for Planning Dana F. Wilkinson, Michael H. Bowling, Ali Ghodsi

JAIR 2004 Existence of Multiagent Equilibria with Limited Agents Michael H. Bowling, Manuela M. Veloso

IJCAI 2003 A Formalization of Equilibria for Multiagent Planning Michael H. Bowling, Rune Møller Jensen, Manuela M. Veloso

IJCAI 2003 Simultaneous Adversarial Multi-Robot Learning Michael H. Bowling, Manuela M. Veloso

ICML 2001 Convergence of Gradient Dynamics with a Variable Learning Rate Michael H. Bowling, Manuela M. Veloso

IJCAI 2001 Rational and Convergent Learning in Stochastic Games Michael H. Bowling, Manuela M. Veloso

ICML 2000 Convergence Problems of General-Sum Multiagent Reinforcement Learning Michael H. Bowling

IJCAI 1999 Bounding the Suboptimality of Reusing Subproblem Michael H. Bowling, Manuela M. Veloso

AAAI 1999 CMUnited-98: A Team of Robotic Soccer Agents Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone