The CMUnited-98 Small-Robot Team. - Manuela M. Veloso; Michael H. Bowling; Sorin Achim; Kwun Han; Peter Stone 001 (RoboCup, 1998)

The CMUnited-98 champion small-robot team. - Manuela M. Veloso; Michael H. Bowling; Peter Stone 001 (Adv. Robotics, 1998)

CMUnited-98: A Team of Robotic Soccer Agents. - Manuela M. Veloso; Michael H. Bowling; Sorin Achim; Kwun Han; Peter Stone 001 (AAAI/IAAI, 1999)

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

Motion Control in Dynamic Multi-Robot Environments. - Michael H. Bowling; Manuela M. Veloso (RoboCup, 1999)

CMUnited-99: Small-Size Robot Team. - Manuela M. Veloso; Michael H. Bowling; Sorin Achim (RoboCup, 1999)

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

CMUNITED-98: RoboCup-98 Small-Robot World Champion Team. - Manuela M. Veloso; Michael H. Bowling; Sorin Achim; Kwun Han; Peter Stone 001 (AI Mag., 2000)

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

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

CM-Dragons'01 - Vision-Based Motion Tracking and Heteregenous Robots. - Brett Browning; Michael H. Bowling; James Bruce; Ravi Balasubramanian; Manuela M. Veloso (RoboCup, 2001)

Towards robust teams with many agents. - Gal A. Kaminka; Michael H. Bowling (AAMAS, 2002)

Improbability Filtering for Rejecting False Positives. - Brett Browning; Michael H. Bowling; Manuela M. Veloso (ICRA, 2002)

Approximation Techniques in Multiagent Learning. - Michael H. Bowling (SARA, 2002)

Multiagent learning using a variable learning rate. - Michael H. Bowling; Manuela M. Veloso (Artif. Intell., 2002)

Multi-robot team response to a multi-robot opponent team. - James Bruce; Michael H. Bowling; Brett Browning; Manuela M. Veloso (ICRA, 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 (IJCAI, 2003)

Plays as Team Plans for Coordination and Adaptation. - Michael H. Bowling; Brett Browning; Allen Chang; Manuela M. Veloso (RoboCup, 2003)

Safe Strategies for Agent Modelling in Games. - Peter McCracken; Michael Bowling (AAAI Technical Report (2), 2004)

Plays as Effective Multiagent Plans Enabling Opponent-Adaptive Play Selection. - Michael H. Bowling; Brett Browning; Manuela M. Veloso (ICAPS, 2004)

Game-Tree Search with Adaptation in Stochastic Imperfect-Information Games. - Darse Billings; Aaron Davidson; Terence Schauenberg; Neil Burch; Michael H. Bowling; Robert C. Holte; Jonathan Schaeffer 001; Duane Szafron (Computers and Games, 2004)

Convergence and No-Regret in Multiagent Learning. - Michael H. Bowling (NIPS, 2004)

Existence of Multiagent Equilibria with Limited Agents. - Michael H. Bowling; Manuela M. Veloso (J. Artif. Intell. Res., 2004)

Coordination and Adaptation in Impromptu Teams. - Michael H. Bowling; Peter McCracken (AAAI, 2005)

Action respecting embedding. - Michael H. Bowling; Ali Ghodsi 001; Dana F. Wilkinson (ICML, 2005)

Bayesian sparse sampling for on-line reward optimization. - Tao Wang; Daniel J. Lizotte; Michael H. Bowling; Dale Schuurmans (ICML, 2005)

Learning Subjective Representations for Planning. - Dana F. Wilkinson; Michael H. Bowling; Ali Ghodsi 001 (IJCAI, 2005)

Subjective Localization with Action Respecting Embedding. - Michael H. Bowling; Dana F. Wilkinson; Ali Ghodsi 001; Adam Milstein (ISRR, 2005)

Online Discovery and Learning of Predictive State Representations. - Peter McCracken; Michael H. Bowling (NIPS, 2005)

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

Subjective Mapping. - Michael H. Bowling; Dana F. Wilkinson; Ali Ghodsi 001 (AAAI, 2006)

Incremental Least-Squares Temporal Difference Learning. - Alborz Geramifard; Michael H. Bowling; Richard S. Sutton (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)

Prob-Maxn: Playing N-Player Games with Opponent Models. - Nathan R. Sturtevant; 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)

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

Robust game play against unknown opponents. - Nathan R. Sturtevant; Michael H. Bowling (AAMAS, 2006)

Learning predictive state representations using non-blind policies. - Michael H. Bowling; Peter McCracken; Michael James 001; James Neufeld; Dana F. Wilkinson (ICML, 2006)

iLSTD: Eligibility Traces and Convergence Analysis. - Alborz Geramifard; Michael H. Bowling; Martin Zinkevich; Richard S. Sutton (NIPS, 2006)

Machine learning and games. - Michael H. Bowling; Johannes Fürnkranz; Thore Graepel; Ron Musick (Mach. Learn., 2006)

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

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

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

Computing Robust Counter-Strategies. - Michael Johanson; Martin Zinkevich; Michael H. Bowling (NIPS, 2007)

Stable Dual Dynamic Programming. - Tao Wang; Daniel J. Lizotte; Michael H. Bowling; Dale Schuurmans (NIPS, 2007)

Regret Minimization in Games with Incomplete Information. - Martin Zinkevich; Michael Johanson; Michael H. Bowling; Carmelo Piccione (NIPS, 2007)

Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games. - Maria Cutumisu; Duane Szafron; Michael H. Bowling; Richard S. Sutton (AIIDE, 2008)

Sigma point policy iteration. - Michael H. Bowling; Alborz Geramifard; David Wingate (AAMAS (1), 2008)

Autonomous geocaching: navigation and goal finding in outdoor domains. - James Neufeld; Michael Sokolsky; Jason Roberts; Adam Milstein; Stephen Walsh; Michael H. Bowling (AAMAS (1), 2008)

Strategy evaluation in extensive games with importance sampling. - Michael H. Bowling; Michael Johanson; Neil Burch; Duane Szafron (ICML, 2008)

Apprenticeship learning using linear programming. - Umar Syed; Michael H. Bowling; Robert E. Schapire (ICML, 2008)

Scalable Action Respecting Embedding. - Michael Biggs; Ali Ghodsi 001; Dana F. Wilkinson; Michael H. Bowling (ISAIM, 2008)

Multidisciplinary students and instructors: a second-year games course. - Nathan R. Sturtevant; H. James Hoover; Jonathan Schaeffer 001; Sean Gouglas; Michael H. Bowling; Finnegan Southey; Matthew Bouchard; Ghassan Zabaneh (SIGCSE, 2008)

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

A demonstration of the Polaris poker system. - 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 001; et al. (AAMAS (2), 2009)

Abstraction pathologies in extensive games. - Kevin Waugh; David Schnizlein; Michael H. Bowling; Duane Szafron (AAMAS (2), 2009)

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

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

Monte Carlo Sampling for Regret Minimization in Extensive Games. - Marc Lanctot; Kevin Waugh; Martin Zinkevich; Michael H. Bowling (NIPS, 2009)

Strategy Grafting in Extensive Games. - Kevin Waugh; Nolan Bard; Michael H. Bowling (NIPS, 2009)

A Practical Use of Imperfect Recall. - Kevin Waugh; Martin Zinkevich; Michael Johanson; Morgan Kan; David Schnizlein; Michael H. Bowling (SARA, 2009)

Data Biased Robust Counter Strategies. - Michael Johanson; Michael H. Bowling (AISTATS, 2009)

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

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

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

Variance Reduction in Monte-Carlo Tree Search. - Joel Veness; Marc Lanctot; Michael H. Bowling (NIPS, 2011)

The lemonade stand game competition: solving unsolvable games. - Martin Zinkevich; Michael H. Bowling; Michael Wunder (SIGecom Exch., 2011)

Investigating Contingency Awareness Using Atari 2600 Games. - Marc G. Bellemare; Joel Veness; Michael Bowling (AAAI, 2012)

Generalized Sampling and Variance in Counterfactual Regret Minimization. - Richard G. Gibson; Marc Lanctot; Neil Burch; Duane Szafron; Michael Bowling (AAAI, 2012)

Finding Optimal Abstract Strategies in Extensive-Form Games. - Michael Johanson; Nolan Bard; Neil Burch; Michael Bowling (AAAI, 2012)

Efficient Nash equilibrium approximation through Monte Carlo counterfactual regret minimization. - Michael Johanson; Nolan Bard; Marc Lanctot; Richard G. Gibson; Michael Bowling (AAMAS, 2012)

Keynotes [abstracts of three keynote presentations]. - Jeff Orkin; Gillian Smith 001; Michael Bowling (CIG, 2012)

Context Tree Switching. - Joel Veness; Kee Siong Ng; Marcus Hutter; Michael H. Bowling (DCC, 2012)

On Local Regret. - Michael Bowling; Martin Zinkevich (ICML, 2012)

No-Regret Learning in Extensive-Form Games with Imperfect Recall. - Marc Lanctot; Richard G. Gibson; Neil Burch; Michael Bowling (ICML, 2012)

Sketch-Based Linear Value Function Approximation. - Marc G. Bellemare; Joel Veness; Michael Bowling (NIPS, 2012)

Tractable Objectives for Robust Policy Optimization. - Katherine Chen; Michael Bowling (NIPS, 2012)

A Randomized Strategy for Learning to Combine Many Features - Arash Afkanpour; András György 001; Csaba Szepesvári; Michael H. Bowling (CoRR, 2012)

No-Regret Learning in Extensive-Form Games with Imperfect Recall - Marc Lanctot; Richard G. Gibson; Neil Burch; Martin Zinkevich; Michael H. Bowling (CoRR, 2012)

Linear fitted-Q iteration with multiple reward functions. - Daniel J. Lizotte; Michael Bowling; Susan A. Murphy (J. Mach. Learn. Res., 2012)

Automating Collusion Detection in Sequential Games. - Parisa Mazrooei; Christopher Archibald; Michael Bowling (AAAI, 2013)

Rating players in games with real-valued outcomes. - Christopher Archibald; Neil Burch; Michael Bowling; Matthew J. Rutherford (AAMAS, 2013)

Online implicit agent modelling. - Nolan Bard; Michael Johanson; Neil Burch; Michael Bowling (AAMAS, 2013)

Baseline: practical control variates for agent evaluation in zero-sum domains. - Joshua Davidson; Christopher Archibald; Michael Bowling (AAMAS, 2013)

Evaluating state-space abstractions in extensive-form games. - Michael Johanson; Neil Burch; Richard Anthony Valenzano; Michael Bowling (AAMAS, 2013)

Partition Tree Weighting. - Joel Veness; Martha White; Michael Bowling; András György 001 (DCC, 2013)

A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning. - Arash Afkanpour; András György 001; Csaba Szepesvári; Michael Bowling (ICML (1), 2013)

Bayesian Learning of Recursively Factored Environments. - Marc G. Bellemare; Joel Veness; Michael Bowling (ICML (3), 2013)

Subset Selection of Search Heuristics. - D. Chris Rayner; Nathan R. Sturtevant; Michael Bowling (IJCAI, 2013)

CFR-D: Solving Imperfect Information Games Using Decomposition - Neil Burch; Michael Bowling (CoRR, 2013)

The Arcade Learning Environment: An Evaluation Platform for General Agents. - Marc G. Bellemare; Yavar Naddaf; Joel Veness; Michael Bowling (J. Artif. Intell. Res., 2013)

Alignment based kernel learning with a continuous set of base kernels. - Arash Afkanpour; Csaba Szepesvári; Michael Bowling (Mach. Learn., 2013)

Solving Imperfect Information Games Using Decomposition. - Neil Burch; Michael Johanson; Michael Bowling (AAAI, 2014)

Using Response Functions to Measure Strategy Strength. - Trevor Davis 001; Neil Burch; Michael Bowling (AAAI, 2014)

Asymmetric abstractions for adversarial settings. - Nolan Bard; Michael Johanson; Michael H. Bowling (AAMAS, 2014)

Do pokers players know how good they are? Accuracy of poker skill estimation in online and offline players. - T. L. MacKay; Nolan Bard; Michael Bowling; David C. Hodgins (Comput. Hum. Behav., 2014)

Decision-Theoretic Clustering of Strategies. - Nolan Bard; Deon Nicholas; Csaba Szepesvári; Michael Bowling (AAAI Workshop: Computer Poker and Imperfect Information, 2015)

Policy Tree: Adaptive Representation for Policy Gradient. - Ujjwal Das Gupta; Erik Talvitie; Michael Bowling (AAAI, 2015)

Domain-Independent Optimistic Initialization for Reinforcement Learning. - Marlos C. Machado; Sriram Srinivasan 005; Michael H. Bowling (AAAI Workshop: Learning for General Competency in Video Games, 2015)

Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes. - Pascal Poupart; Aarti Malhotra; Pei Pei; Kee-Eung Kim; Bongseok Goh; Michael Bowling (AAAI, 2015)

Improving Exploration in UCT Using Local Manifolds. - Sriram Srinivasan 005; Erik Talvitie; Michael H. Bowling (AAAI, 2015)

Pairwise Relative Offset Features for Atari 2600 Games. - Erik Talvitie; Michael H. Bowling (AAAI Workshop: Learning for General Competency in Video Games, 2015)

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

Optimal Estimation of Multivariate ARMA Models. - Martha White; Junfeng Wen; Michael Bowling; Dale Schuurmans (AAAI, 2015)

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

Online Monte Carlo Counterfactual Regret Minimization for Search in Imperfect Information Games. - Viliam Lisý; Marc Lanctot; Michael H. Bowling (AAMAS, 2015)

The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract). - Marc G. Bellemare; Yavar Naddaf; Joel Veness; Michael Bowling (IJCAI, 2015)

Solving Heads-Up Limit Texas Hold'em. - Oskari Tammelin; Neil Burch; Michael Johanson; Michael Bowling (IJCAI, 2015)

Counterfactual Regret Minimization in Sequential Security Games. - Viliam Lisý; Trevor Davis 001; Michael H. Bowling (AAAI, 2016)

State of the Art Control of Atari Games Using Shallow Reinforcement Learning. - Yitao Liang; Marlos C. Machado; Erik Talvitie; Michael H. Bowling (AAMAS, 2016)

Action Selection for Hammer Shots in Curling. - Zaheen Farraz Ahmad; Robert C. Holte; Michael Bowling (IJCAI, 2016)

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

The Forget-me-not Process. - Kieran Milan; Joel Veness; James Kirkpatrick; Michael H. Bowling; Anna Koop; Demis Hassabis (NIPS, 2016)

Learning Purposeful Behaviour in the Absence of Rewards. - Marlos C. Machado; Michael H. Bowling (CoRR, 2016)

AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. - Neil Burch; Martin Schmid; Matej Moravcik; Michael Bowling (AAAI Workshops, 2017)

Eqilibrium Approximation Quality of Current No-Limit Poker Bots. - Viliam Lisý; Michael Bowling (AAAI Workshops, 2017)

A Laplacian Framework for Option Discovery in Reinforcement Learning. - Marlos C. Machado; Marc G. Bellemare; Michael H. Bowling (ICML, 2017)

Heads-up limit hold'em poker is solved. - Michael Bowling; Neil Burch; Michael Johanson; Oskari Tammelin (Commun. ACM, 2017)

DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker. - Matej Moravcík; Martin Schmid; Neil Burch; Viliam Lisý; Dustin Morrill; Nolan Bard; Trevor Davis 001; Kevin Waugh; Michael Johanson; Michael H. Bowling (CoRR, 2017)

AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. - Neil Burch; Martin Schmid; Matej Moravcik; Dustin Morrill; Michael Bowling (AAAI, 2018)

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract). - Marlos C. Machado; Marc G. Bellemare; Erik Talvitie; Joel Veness; Matthew J. Hausknecht; Michael Bowling (IJCAI, 2018)

Actor-Critic Policy Optimization in Partially Observable Multiagent Environments. - Sriram Srinivasan 005; Marc Lanctot; Vinícius Flores Zambaldi; Julien Pérolat; Karl Tuyls; Rémi Munos; Michael Bowling (NeurIPS, 2018)

The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces. - G. Zacharias Holland; Erik Talvitie; Michael Bowling (CoRR, 2018)

Generalization and Regularization in DQN. - Jesse Farebrother; Marlos C. Machado; Michael Bowling (CoRR, 2018)

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents. - Marlos C. Machado; Marc G. Bellemare; Erik Talvitie; Joel Veness; Matthew J. Hausknecht; Michael Bowling (J. Artif. Intell. Res., 2018)

Solving Large Extensive-Form Games with Strategy Constraints. - Trevor Davis 001; Kevin Waugh; Michael Bowling (AAAI, 2019)

Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines. - Martin Schmid; Neil Burch; Marc Lanctot; Matej Moravcik; Rudolf Kadlec; Michael Bowling (AAAI, 2019)

Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. - Jakob N. Foerster; H. Francis Song; Edward Hughes 001; Neil Burch; Iain Dunning; Shimon Whiteson; Matthew M. Botvinick; Michael Bowling (ICML, 2019)

Ease-of-Teaching and Language Structure from Emergent Communication. - Fushan Li; Michael Bowling (NeurIPS, 2019)

Count-Based Exploration with the Successor Representation. - Marlos C. Machado; Marc G. Bellemare; Michael Bowling (AAAI, 2020)

Alternative Function Approximation Parameterizations for Solving Games: An Analysis of ƒ-Regression Counterfactual Regret Minimization. - Ryan D'Orazio; Dustin Morrill; James R. Wright; Michael Bowling (AAMAS, 2020)

Low-Variance and Zero-Variance Baselines for Extensive-Form Games. - Trevor Davis 001; Martin Schmid; Michael Bowling (ICML, 2020)

Marginal Utility for Planning in Continuous or Large Discrete Action Spaces. - Zaheen Farraz Ahmad; Levi Lelis; Michael Bowling (NeurIPS, 2020)

The Hanabi challenge: A new frontier for AI research. - Nolan Bard; Jakob N. Foerster; Sarath Chandar; Neil Burch; Marc Lanctot; H. Francis Song; Emilio Parisotto; Vincent Dumoulin; Subhodeep Moitra; Edward Hughes 001; Iain Dunning; Shibl Mourad; et al. (Artif. Intell., 2020)

Approximate exploitability: Learning a best response in large games. - Finbarr Timbers; Edward Lockhart; Martin Schmid; Marc Lanctot; Michael Bowling (CoRR, 2020)

Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task. - Katya Kudashkina; Valliappa Chockalingam; Graham W. Taylor; Michael Bowling (CoRR, 2020)

Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models. - Taher Jafferjee; Ehsan Imani; Erin Talvitie; Martha White; Michael Bowling (CoRR, 2020)

Sound Search in Imperfect Information Games. - Michal Sustr; Martin Schmid; Matej Moravcík; Neil Burch; Marc Lanctot; Michael Bowling (CoRR, 2020)

The Advantage Regret-Matching Actor-Critic. - Audrunas Gruslys; Marc Lanctot; Rémi Munos; Finbarr Timbers; Martin Schmid; Julien Pérolat; Dustin Morrill; Vinícius Flores Zambaldi; Jean-Baptiste Lespiau; John Schultz; Mohammad Gheshlaghi Azar; Michael Bowling; et al. (CoRR, 2020)

Useful Policy Invariant Shaping from Arbitrary Advice. - Paniz Behboudian; Yash Satsangi; Matthew E. Taylor; Anna Harutyunyan; Michael Bowling (CoRR, 2020)

Hindsight and Sequential Rationality of Correlated Play. - Dustin Morrill; Ryan D'Orazio; Reca Sarfati; Marc Lanctot; James R. Wright; Amy R. Greenwald; Michael Bowling (AAAI, 2021)

Solving Common-Payoff Games with Approximate Policy Iteration. - Samuel Sokota; Edward Lockhart; Finbarr Timbers; Elnaz Davoodi; Ryan D'Orazio; Neil Burch; Martin Schmid; Michael Bowling; Marc Lanctot (AAAI, 2021)

Sound Algorithms in Imperfect Information Games. - Michal Sustr; Martin Schmid; Matej Moravcík; Neil Burch; Marc Lanctot; Michael Bowling (AAMAS, 2021)

Toward a Competitive Agent Framework for Magic: The Gathering. - Chris Alvin; Michael Bowling; Shaelyn Rivers-Green; Deric Siglin; Lori Alvin (FLAIRS, 2021)

Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. - Dustin Morrill; Ryan D'Orazio; Marc Lanctot; James R. Wright; Michael Bowling; Amy R. Greenwald (ICML, 2021)

Learning to Be Cautious. - Montaser Mohammedalamen; Dustin Morrill; Alexander Sieusahai; Yash Satsangi; Michael Bowling (CoRR, 2021)

The Partially Observable History Process. - Dustin Morrill; Amy R. Greenwald; Michael Bowling (CoRR, 2021)

Player of Games. - Martin Schmid; Matej Moravcik; Neil Burch; Rudolf Kadlec; Joshua Davidson; Kevin Waugh; Nolan Bard; Finbarr Timbers; Marc Lanctot; G. Zacharias Holland; Elnaz Davoodi; Alden Christianson; et al. (CoRR, 2021)

Teaching People by Justifying Tree Search Decisions: An Empirical Study in Curling. - Cleyton R. Silva; Michael Bowling; Levi H. S. Lelis (J. Artif. Intell. Res., 2021)

Learning Curricula for Humans: An Empirical Study with Puzzles from The Witness. - Levi H. S. Lelis; João Gabriel Gama Vila Nova; Eugene Chen; Nathan R. Sturtevant; Carrie Demmans Epp; Michael Bowling (IJCAI, 2022)

Approximate Exploitability: Learning a Best Response. - Finbarr Timbers; Nolan Bard; Edward Lockhart; Marc Lanctot; Martin Schmid; Neil Burch; Julian Schrittwieser; Thomas Hubert; Michael Bowling (IJCAI, 2022)

Rethinking formal models of partially observable multiagent decision making. - Vojtech Kovarík; Martin Schmid; Neil Burch; Michael Bowling; Viliam Lisý (Artif. Intell., 2022)

Should Models Be Accurate? - Esra'a Saleh; John D. Martin; Anna Koop; Arash Pourzarabi; Michael Bowling (CoRR, 2022)

Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration. - Dustin Morrill; Esra'a Saleh; Michael Bowling; Amy Greenwald (CoRR, 2022)

The Alberta Plan for AI Research. - Richard S. Sutton; Michael H. Bowling; Patrick M. Pilarski (CoRR, 2022)

Over-communicate no more: Situated RL agents learn concise communication protocols. - Aleksandra Kalinowska; Elnaz Davoodi; Florian Strub; Kory W. Mathewson; Ivana Kajic; Michael Bowling; Todd D. Murphey; Patrick M. Pilarski (CoRR, 2022)

Policy invariant explicit shaping: an efficient alternative to reward shaping. - Paniz Behboudian; Yash Satsangi; Matthew E. Taylor; Anna Harutyunyan; Michael Bowling (Neural Comput. Appl., 2022)

Targeted Search Control in AlphaZero for Effective Policy Improvement. - Alexandre Trudeau; Michael Bowling (AAMAS, 2023)

Settling the Reward Hypothesis. - Michael Bowling; John D. Martin; David Abel; Will Dabney (ICML, 2023)

Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract). - Vojtech Kovarík; Martin Schmid; Neil Burch; Michael Bowling; Viliam Lisý (IJCAI, 2023)

TacticAI: an AI assistant for football tactics. - Zhe Wang 055; Petar Velickovic; Daniel Hennes; Nenad Tomasev; Laurel Prince; Michael Kaisers; Yoram Bachrach; Romuald Elie; Li Kevin Wenliang; Federico Piccinini; William Spearman; Ian Graham; et al. (CoRR, 2023)

Assessing the Interpretability of Programmatic Policies with Large Language Models. - Zahra Bashir; Michael Bowling; Levi H. S. Lelis (CoRR, 2023)

Temporal Abstraction in Reinforcement Learning with the Successor Representation. - Marlos C. Machado; André Barreto 001; Doina Precup; Michael Bowling (J. Mach. Learn. Res., 2023)

Learning Not to Regret. - David Sychrovsky; Michal Sustr; Elnaz Davoodi; Michael Bowling; Marc Lanctot; Martin Schmid (AAAI, 2024)

Monitored Markov Decision Processes. - Simone Parisi; Montaser Mohammedalamen; Alireza Kazemipour; Matthew E. Taylor; Michael Bowling (AAMAS, 2024)

Proper Laplacian Representation Learning. - Diego Gomez; Michael Bowling; Marlos C. Machado (ICLR, 2024)

A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning. - Jacob Adkins; Michael Bowling; Adam White 001 (NeurIPS, 2024)

Real-Time Recurrent Learning using Trace Units in Reinforcement Learning. - Esraa Elelimy; Adam White 001; Michael Bowling; Martha White (NeurIPS, 2024)

Beyond Optimism: Exploration With Partially Observable Rewards. - Simone Parisi; Alireza Kazemipour; Michael Bowling (NeurIPS, 2024)

Meta-Gradient Search Control: A Method for Improving the Efficiency of Dyna-style Planning. - Bradley Burega; John D. Martin; Luke Kapeluck; Michael Bowling (CoRR, 2024)

Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models. - Farzane Aminmansour; Taher Jafferjee; Ehsan Imani; Erin J. Talvitie; Michael Bowling; Martha White (J. Artif. Intell. Res., 2024)

On the Interplay Between Sparsity and Training in Deep Reinforcement Learning. - Fatima Davelouis; John D. Martin; Michael Bowling (CoRR, 2025)

Agency Is Frame-Dependent. - David Abel; André Barreto 001; Michael Bowling; Will Dabney; Shi Dong; Steven Hansen 001; Anna Harutyunyan; Khimya Khetarpal; Clare Lyle; Razvan Pascanu; Georgios Piliouras; Doina Precup; et al. (CoRR, 2025)

Model-Based Exploration in Monitored Markov Decision Processes. - Alireza Kazemipour; Simone Parisi; Matthew E. Taylor; Michael Bowling (CoRR, 2025)

Rethinking the Foundations for Continual Reinforcement Learning. - Michael Bowling; Esraa Elelimy (CoRR, 2025)

Approximating Nash Equilibria in General-Sum Games via Meta-Learning. - David Sychrovský; Christopher Solinas; Revan MacQueen; Kevin Wang; James R. Wright; Nathan R. Sturtevant; Michael Bowling (CoRR, 2025)

Meta-Learning in Self-Play Regret Minimization. - David Sychrovský; Martin Schmid; Michal Sustr; Michael Bowling (CoRR, 2025)

KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation. - Jiabin Fan; Guoqing Luo; Michael Bowling; Lili Mou (CoRR, 2025)

Generalization in Monitored Markov Decision Processes (Mon-MDPs). - Montaser Mohammedalamen; Michael Bowling (CoRR, 2025)

Plasticity as the Mirror of Empowerment. - David Abel; Michael Bowling; André Barreto 001; Will Dabney; Shi Dong; Steven Hansen 001; Anna Harutyunyan; Khimya Khetarpal; Clare Lyle; Razvan Pascanu; Georgios Piliouras; Doina Precup; et al. (CoRR, 2025)