- Compact, Convex Upper Bound Iteration for Approximate POMDP Planning University of Alberta
- Existence of Multiagent Equilibria with Limited Agents Michael Bowling MHB@CS.CMU.EDU
- Optimal Unbiased Estimators for Evaluating Agent Performance Martin Zinkevich and Michael Bowling and Nolan Bard and Morgan Kan and Darse Billings
- Computing Robust CounterStrategies Michael Johanson
- Safe Strategies for Agent Modelling in Games Peter McCracken and Michael Bowling
- Monte Carlo Sampling for Regret Minimization in Extensive Games
- Bayes' Bluff: Opponent Modelling in Poker Finnegan Southey, Michael Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, Chris Rayner
- Monte Carlo Sampling for Regret Minimization in Extensive Games Marc Lanctot, Kevin Waugh, and Michael Bowling
- Simultaneous Adversarial MultiRobot Learning Michael Bowling and Manuela Veloso
- Multiagent Learning in the Presence of Agents with Limitations
- A Formalization of Equilibria for Multiagent Planning Michael Bowling, Rune Jensen, and Manuela Veloso
- Game Tree Search with Adaptation in Stochastic Imperfect Information Games
- Multiagent Planning in the Presence of Multiple Goals
- Bayes' Bluff: Opponent Modelling in Poker Finnegan Southey, Michael Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, Chris Rayner
- Scalable Learning in Stochastic Games Michael Bowling and Manuela Veloso
- iLSTD: Eligibility Traces and Convergence Analysis Alborz Geramifard Michael Bowling Martin Zinkevich
- Convergence Problems of GeneralSum Multiagent Reinforcement Learning Michael Bowling MHB@CS.CMU.EDU
- Scalable Learning in Stochastic Games Michael Bowling and Manuela Veloso
- Subjective Mapping Michael Bowling
- Predictive Memory for an Inaccessible Environment Mike Bowling Peter Stone Manuela Veloso
- Learning Subjective Representations for Planning Dana Wilkinson
- Strategy Evaluation in Extensive Games with Importance Sampling Michael Bowling BOWLING@CS.UALBERTA.CA
- Boosting Expert Ensembles for Rapid Concept Recall Achim Rettinger
- Bayesian Calibration for Monte Carlo Localization Armita Kaboli # and Michael Bowling + and Petr Musilek #
- A New Algorithm for Generating Strong Strategies in Massive ZeroSum Games Martin Zinkevich Michael Bowling Neil Burch
- Multiagent Learning Using a Variable Learning Rate
- Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games
- Optimal Unbiased Estimators for Evaluating Agent Performance Martin Zinkevich and Michael Bowling and Nolan Bard and Morgan Kan and Darse Billings
- OBDDBased Optimistic and Strong Cyclic Adversarial Planning
- Plays as Effective Multiagent Plans Enabling OpponentAdaptive Play Selection
- Online Discovery and Learning of Predictive State Representations
- Motion Control in Dynamic MultiRobot Environments Michael Bowling Manuela Veloso
- ProbMax n : Playing NPlayer Games with Opponent Models Nathan Sturtevant and Martin Zinkevich and Michael Bowling
- Strategy Evaluation in Extensive Games with Importance Sampling Michael Bowling BOWLING@CS.UALBERTA.CA
- Convergence Problems of General-Sum Multiagent Reinforcement Learning Michael Bowling MHB@CS.CMU.EDU
- Particle Filtering for Dynamic Agent Modelling in Simplified Poker Nolan Bard and Michael Bowling
- Subjective Localization with Action Respecting Michael Bowling1
- Multiagent Planning in the Presence of Multiple Goals
- Automatic Gait Optimization with Gaussian Process Regression Daniel Lizotte, Tao Wang, Michael Bowling, Dale Schuurmans
- Rational and Convergent Learning in Stochastic Games Michael Bowling Manuela Veloso
- Bayesian Sparse Sampling for On-line Reward Optimization Tao Wang TRYSI@CS.UALBERTA.CA
- Learning Predictive State Representations Using NonBlind Policies Michael Bowling BOWLING@CS.UALBERTA.CA
- Multiagent Learning in the Presence of Agents with Limitations
- Multidisciplinary Students And Instructors: A Second-Year Games Course
- A Formalization of Equilibria for Multiagent Planning Michael Bowling, Rune Jensen, and Manuela Veloso
- Learning Predictive State Representations Using Non-Blind Policies Michael Bowling BOWLING@CS.UALBERTA.CA
- Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis
- Data Biased Robust Counter Strategies Michael Johanson
- Probabilistic State Translation in Extensive Games with Large Action Sets David Schnizlein Michael Bowling
- Strategy Grafting in Extensive Games Kevin Waugh
- A Practical Use of Imperfect Recall Kevin Waugh, Martin Zinkevich
- Sigma Point Policy Iteration Michael Bowling and Alborz Geramifard
- Computing Robust Counter-Strategies Michael Johanson
- Autonomous Geocaching: Navigation and Goal Finding in Outdoor Domains
- Stable Dual Dynamic Programming Tao Wang Daniel Lizotte Michael Bowling Dale Schuurmans
- A New Algorithm for Generating Equilibria in Massive Zero-Sum Games Martin Zinkevich Michael Bowling Neil Burch
- Incremental Least-Squares Temporal Difference Learning Alborz Geramifard Michael Bowling Richard S. Sutton
- Bayesian Calibration for Monte Carlo Localization Armita Kaboli
- Online Discovery and Learning of Predictive State Representations
- : Playing N-Player Games with Opponent Models Nathan Sturtevant and Martin Zinkevich and Michael Bowling
- Robust Game Play Against Unknown Opponents Nathan Sturtevant
- Action Respecting Embedding Michael Bowling BOWLING@CS.UALBERTA.CA
- Coordination and Adaptation in Impromptu Teams Michael Bowling and Peter McCracken
- Learning Subjective Representations for Planning Dana Wilkinson
- Simultaneous Adversarial Multi-Robot Learning Michael Bowling and Manuela Veloso
- OBDD-Based Optimistic and Strong Cyclic Adversarial Planning
- An Analysis of Stochastic Game Theory for Multiagent Reinforcement Learning
- The CMUnited-98 Champion Small-Robot Team Manuela Veloso, Michael Bowling, Peter Stone
- Supplemental Material for Monte Carlo Sampling for Regret Minimization in Extensive Games
- Automatic Gait Optimization with Gaussian Process Regression Daniel Lizotte, Tao Wang, Michael Bowling, Dale Schuurmans
- Multiagent Learning Using a Variable Learning Rate
- Dual Representations for Dynamic Programming and Reinforcement Learning
- Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
- An Analysis of Stochastic Game Theory for Multiagent Reinforcement Learning
- Plays as Effective Multiagent Plans Enabling Opponent-Adaptive Play Selection
- Regret Minimization in Games with Incomplete Information
- Apprenticeship Learning Using Linear Programming Umar Syed USYED@CS.PRINCETON.EDU
- Subjective Localization with Action Respecting Michael Bowling 1 , Dana Wilkinson 2 , Ali Ghodsi 3 , and Adam Milstein 2
- Rational and Convergent Learning in Stochastic Games Michael Bowling Manuela Veloso
- Bounding the Suboptimality of Reusing Subproblems Michael Bowling Manuela Veloso
- The CMUnited98 Champion SmallRobot Team Manuela Veloso, Michael Bowling, Peter Stone
- Scalable Action Respecting Embedding Michael Biggs and Ali Ghodsi
- Existence of Multiagent Equilibria with Limited Agents Michael Bowling BOWLING@CS.UALBERTA.CA
- Regret Minimization in Games with Incomplete Information
- Safe Strategies for Agent Modelling in Games Peter McCracken and Michael Bowling
- Particle Filtering for Dynamic Agent Modelling in Simplified Poker Nolan Bard and Michael Bowling
- Learning a Value Analysis Tool For Agent Evaluation Martha White
- Subjective Mapping Michael Bowling
- Accelerating Best Response Calculation in Large Extensive Games Michael Johanson
- Euclidean Heuristic Optimization Chris Rayner and Michael Bowling
- Variance Reduction in Monte-Carlo Tree Search Joel Veness
- Efficient Nash Equilibrium Approximation through Monte Carlo Counterfactual Regret Minimization
