Michael Bowling

134 papers A* 39A 9B 1Misc 1Journal 71Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation. EACL (Findings) Jiabin Fan, Guoqing Luo, Michael Bowling, Lili Mou
2025	J	`jnl`	Agency Is Frame-Dependent. CoRR David Abel, André Barreto, Michael Bowling, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh
2025	J	`jnl`	Approximating Nash Equilibria in General-Sum Games via Meta-Learning. CoRR David Sychrovský, Christopher Solinas, Revan MacQueen, Kevin Wang, James R. Wright, Nathan R. Sturtevant, Michael Bowling
2025	J	`jnl`	Generalization in Monitored Markov Decision Processes (Mon-MDPs). CoRR Montaser Mohammedalamen, Michael Bowling
2025	J	`jnl`	KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation. CoRR Jiabin Fan, Guoqing Luo, Michael Bowling, Lili Mou
2025	J	`jnl`	Learning to Be Cautious. Trans. Mach. Learn. Res. Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai, Yash Satsangi, Michael Bowling
2025	J	`jnl`	Meta-Learning in Self-Play Regret Minimization. CoRR David Sychrovský, Martin Schmid, Michal Sustr, Michael Bowling
2025	A*	`conf`	Model-Based Exploration in Monitored Markov Decision Processes. ICML Alireza Kazemipour, Matthew E. Taylor, Michael Bowling
2025	J	`jnl`	Model-Based Exploration in Monitored Markov Decision Processes. CoRR Alireza Kazemipour, Simone Parisi, Matthew E. Taylor, Michael Bowling
2025	J	`jnl`	Neural Bayesian Filtering. CoRR Christopher Solinas, Radovan Haluska, David Sychrovsky, Finbarr Timbers, Nolan Bard, Michael Buro, Martin Schmid, Nathan R. Sturtevant, Michael Bowling
2025	J	`jnl`	On the Interplay Between Sparsity and Training in Deep Reinforcement Learning. CoRR Fatima Davelouis, John D. Martin, Michael Bowling
2025	J	`jnl`	Plasticity as the Mirror of Empowerment. CoRR David Abel, Michael Bowling, André Barreto, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh
2025	J	`jnl`	Rethinking the Foundations for Continual Reinforcement Learning. CoRR Michael Bowling, Esraa Elelimy
2025	J	`jnl`	Toward Agents That Reason About Their Computation. CoRR Adrian Orenstein, Jessica Chen, Gwyneth Anne Delos Santos, Bayley Sapara, Michael Bowling
2024	A*	`conf`	A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning. NeurIPS Jacob Adkins, Michael Bowling, Adam White
2024	J	`jnl`	A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning. CoRR Jacob Adkins, Michael Bowling, Adam White
2024	A*	`conf`	Beyond Optimism: Exploration With Partially Observable Rewards. NeurIPS Simone Parisi, Alireza Kazemipour, Michael Bowling
2024	J	`jnl`	Beyond Optimism: Exploration With Partially Observable Rewards. CoRR Simone Parisi, Alireza Kazemipour, Michael Bowling
2024	A*	`conf`	Learning Not to Regret. AAAI David Sychrovsky, Michal Sustr, Elnaz Davoodi, Michael Bowling, Marc Lanctot, Martin Schmid
2024	J	`jnl`	Meta-Gradient Search Control: A Method for Improving the Efficiency of Dyna-style Planning. CoRR Bradley Burega, John D. Martin, Luke Kapeluck, Michael Bowling
2024	J	`jnl`	Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models. J. Artif. Intell. Res. Farzane Aminmansour, Taher Jafferjee, Ehsan Imani, Erin J. Talvitie, Michael Bowling, Martha White
2024	A	`conf`	Monitored Markov Decision Processes. AAMAS Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew E. Taylor, Michael Bowling
2024	J	`jnl`	Monitored Markov Decision Processes. CoRR Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew E. Taylor, Michael Bowling
2024	A*	`conf`	Proper Laplacian Representation Learning. ICLR Diego Gomez, Michael Bowling, Marlos C. Machado
2024	A*	`conf`	Real-Time Recurrent Learning using Trace Units in Reinforcement Learning. NeurIPS Esraa Elelimy, Adam White, Michael Bowling, Martha White
2024	J	`jnl`	Real-Time Recurrent Learning using Trace Units in Reinforcement Learning. CoRR Esraa Elelimy, Adam White, Michael Bowling, Martha White
2023	J	`jnl`	Assessing the Interpretability of Programmatic Policies with Large Language Models. CoRR Zahra Bashir, Michael Bowling, Levi H. S. Lelis
2023	J	`jnl`	Proper Laplacian Representation Learning. CoRR Diego Gomez, Michael Bowling, Marlos C. Machado
2023	A*	`conf`	Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract). IJCAI Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý
2023	A*	`conf`	Settling the Reward Hypothesis. ICML Michael Bowling, John D. Martin, David Abel, Will Dabney
2023	J	`jnl`	TacticAI: an AI assistant for football tactics. CoRR Zhe Wang, Petar Velickovic, Daniel Hennes, Nenad Tomasev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome T. Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls
2023	A	`conf`	Targeted Search Control in AlphaZero for Effective Policy Improvement. AAMAS Alexandre Trudeau, Michael Bowling
2023	J	`jnl`	Targeted Search Control in AlphaZero for Effective Policy Improvement. CoRR Alexandre Trudeau, Michael Bowling
2023	J	`jnl`	Temporal Abstraction in Reinforcement Learning with the Successor Representation. J. Mach. Learn. Res. Marlos C. Machado, André Barreto, Doina Precup, Michael Bowling
2022	A*	`conf`	Approximate Exploitability: Learning a Best Response. IJCAI Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling
2022	J	`jnl`	Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration. CoRR Dustin Morrill, Esra'a Saleh, Michael Bowling, Amy Greenwald
2022	A*	`conf`	Learning Curricula for Humans: An Empirical Study with Puzzles from The Witness. IJCAI Levi H. S. Lelis, João Gabriel Gama Vila Nova, Eugene Chen, Nathan R. Sturtevant, Carrie Demmans Epp, Michael Bowling
2022	J	`jnl`	Over-communicate no more: Situated RL agents learn concise communication protocols. CoRR Aleksandra Kalinowska, Elnaz Davoodi, Florian Strub, Kory W. Mathewson, Ivana Kajic, Michael Bowling, Todd D. Murphey, Patrick M. Pilarski
2022	J	`jnl`	Policy invariant explicit shaping: an efficient alternative to reward shaping. Neural Comput. Appl. Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling
2022	J	`jnl`	Rethinking formal models of partially observable multiagent decision making. Artif. Intell. Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý
2022	J	`jnl`	Settling the Reward Hypothesis. CoRR Michael Bowling, John D. Martin, David Abel, Will Dabney
2022	J	`jnl`	Should Models Be Accurate? CoRR Esra'a Saleh, John D. Martin, Anna Koop, Arash Pourzarabi, Michael Bowling
2021	A*	`conf`	Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. ICML Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy R. Greenwald
2021	J	`jnl`	Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. CoRR Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy Greenwald
2021	A*	`conf`	Hindsight and Sequential Rationality of Correlated Play. AAAI Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy R. Greenwald, Michael Bowling
2021	J	`jnl`	Learning to Be Cautious. CoRR Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai, Yash Satsangi, Michael Bowling
2021	J	`jnl`	Player of Games. CoRR 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, Michael Bowling
2021	A*	`conf`	Solving Common-Payoff Games with Approximate Policy Iteration. AAAI Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot
2021	J	`jnl`	Solving Common-Payoff Games with Approximate Policy Iteration. CoRR Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot
2021	A	`conf`	Sound Algorithms in Imperfect Information Games. AAMAS Michal Sustr, Martin Schmid, Matej Moravcík, Neil Burch, Marc Lanctot, Michael Bowling
2021	J	`jnl`	Teaching People by Justifying Tree Search Decisions: An Empirical Study in Curling. J. Artif. Intell. Res. Cleyton R. Silva, Michael Bowling, Levi H. S. Lelis
2021	J	`jnl`	The Partially Observable History Process. CoRR Dustin Morrill, Amy R. Greenwald, Michael Bowling
2021	Misc	`conf`	Toward a Competitive Agent Framework for Magic: The Gathering. FLAIRS Chris Alvin, Michael Bowling, Shaelyn Rivers-Green, Deric Siglin, Lori Alvin
2020	A	`conf`	Alternative Function Approximation Parameterizations for Solving Games: An Analysis of ƒ-Regression Counterfactual Regret Minimization. AAMAS Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling
2020	J	`jnl`	Approximate exploitability: Learning a best response in large games. CoRR Finbarr Timbers, Edward Lockhart, Martin Schmid, Marc Lanctot, Michael Bowling
2020	A*	`conf`	Count-Based Exploration with the Successor Representation. AAAI Marlos C. Machado, Marc G. Bellemare, Michael Bowling
2020	J	`jnl`	Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models. CoRR Taher Jafferjee, Ehsan Imani, Erin Talvitie, Martha White, Michael Bowling
2020	J	`jnl`	Hindsight and Sequential Rationality of Correlated Play. CoRR Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy Greenwald, Michael Bowling
2020	A*	`conf`	Low-Variance and Zero-Variance Baselines for Extensive-Form Games. ICML Trevor Davis, Martin Schmid, Michael Bowling
2020	A*	`conf`	Marginal Utility for Planning in Continuous or Large Discrete Action Spaces. NeurIPS Zaheen Farraz Ahmad, Levi Lelis, Michael Bowling
2020	J	`jnl`	Marginal Utility for Planning in Continuous or Large Discrete Action Spaces. CoRR Zaheen Farraz Ahmad, Levi H. S. Lelis, Michael Bowling
2020	J	`jnl`	Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task. CoRR Katya Kudashkina, Valliappa Chockalingam, Graham W. Taylor, Michael Bowling
2020	J	`jnl`	Sound Search in Imperfect Information Games. CoRR Michal Sustr, Martin Schmid, Matej Moravcík, Neil Burch, Marc Lanctot, Michael Bowling
2020	J	`jnl`	The Advantage Regret-Matching Actor-Critic. CoRR 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, Karl Tuyls
2020	J	`jnl`	The Hanabi challenge: A new frontier for AI research. Artif. Intell. Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling
2020	J	`jnl`	Useful Policy Invariant Shaping from Arbitrary Advice. CoRR Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling
2019	J	`jnl`	Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization. CoRR Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling
2019	A*	`conf`	Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. ICML Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew M. Botvinick, Michael Bowling
2019	A*	`conf`	Ease-of-Teaching and Language Structure from Emergent Communication. NeurIPS Fushan Li, Michael Bowling
2019	J	`jnl`	Ease-of-Teaching and Language Structure from Emergent Communication. CoRR Fushan Li, Michael Bowling
2019	J	`jnl`	Low-Variance and Zero-Variance Baselines for Extensive-Form Games. CoRR Trevor Davis, Martin Schmid, Michael Bowling
2019	J	`jnl`	Rethinking Formal Models of Partially Observable Multiagent Decision Making. CoRR Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý
2019	A*	`conf`	Solving Large Extensive-Form Games with Strategy Constraints. AAAI Trevor Davis, Kevin Waugh, Michael Bowling
2019	J	`jnl`	The Hanabi Challenge: A New Frontier for AI Research. CoRR Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling
2019	A*	`conf`	Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines. AAAI Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling
2018	A*	`conf`	AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. AAAI Neil Burch, Martin Schmid, Matej Moravcik, Dustin Morrill, Michael Bowling
2018	A*	`conf`	Actor-Critic Policy Optimization in Partially Observable Multiagent Environments. NeurIPS Sriram Srinivasan, Marc Lanctot, Vinícius Flores Zambaldi, Julien Pérolat, Karl Tuyls, Rémi Munos, Michael Bowling
2018	J	`jnl`	Actor-Critic Policy Optimization in Partially Observable Multiagent Environments. CoRR Sriram Srinivasan, Marc Lanctot, Vinícius Flores Zambaldi, Julien Pérolat, Karl Tuyls, Rémi Munos, Michael Bowling
2018	J	`jnl`	Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. CoRR Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew M. Botvinick, Michael Bowling
2018	J	`jnl`	Count-Based Exploration with the Successor Representation. CoRR Marlos C. Machado, Marc G. Bellemare, Michael Bowling
2018	J	`jnl`	Generalization and Regularization in DQN. CoRR Jesse Farebrother, Marlos C. Machado, Michael Bowling
2018	A*	`conf`	Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract). IJCAI Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, Michael Bowling
2018	J	`jnl`	Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents. J. Artif. Intell. Res. Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, Michael Bowling
2018	J	`jnl`	Solving Large Extensive-Form Games with Strategy Constraints. CoRR Trevor Davis, Kevin Waugh, Michael Bowling
2018	J	`jnl`	The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces. CoRR G. Zacharias Holland, Erik Talvitie, Michael Bowling
2018	J	`jnl`	Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines. CoRR Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling
2017	—	`conf`	AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. AAAI Workshops Neil Burch, Martin Schmid, Matej Moravcik, Michael Bowling
2017	—	`conf`	Eqilibrium Approximation Quality of Current No-Limit Poker Bots. AAAI Workshops Viliam Lisý, Michael Bowling
2017	J	`jnl`	Heads-up limit hold'em poker is solved. Commun. ACM Michael Bowling, Neil Burch, Michael Johanson, Oskari Tammelin
2017	J	`jnl`	Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents. CoRR Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, Michael Bowling
2016	A*	`conf`	Action Selection for Hammer Shots in Curling. IJCAI Zaheen Farraz Ahmad, Robert C. Holte, Michael Bowling
2015	A*	`conf`	Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes. AAAI Pascal Poupart, Aarti Malhotra, Pei Pei, Kee-Eung Kim, Bongseok Goh, Michael Bowling
2015	—	`conf`	Decision-Theoretic Clustering of Strategies. AAAI Workshop: Computer Poker and Imperfect Information Nolan Bard, Deon Nicholas, Csaba Szepesvári, Michael Bowling
2015	—	`ed.`	Learning for General Competency in Video Games, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 26, 2015. AAAI Workshop: Learning for General Competency in Video Games Michael Bowling, Marc G. Bellemare, Erik Talvitie, Joel Veness, Marlos C. Machado
2015	A*	`conf`	Optimal Estimation of Multivariate ARMA Models. AAAI Martha White, Junfeng Wen, Michael Bowling, Dale Schuurmans
2015	A*	`conf`	Policy Tree: Adaptive Representation for Policy Gradient. AAAI Ujjwal Das Gupta, Erik Talvitie, Michael Bowling
2015	—	`conf`	Solving Games with Functional Regret Estimation. AAAI Workshop: Computer Poker and Imperfect Information Kevin Waugh, Dustin Morrill, James Andrew Bagnell, Michael Bowling
2015	A*	`conf`	Solving Heads-Up Limit Texas Hold'em. IJCAI Oskari Tammelin, Neil Burch, Michael Johanson, Michael Bowling
2015	A*	`conf`	The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract). IJCAI Marc G. Bellemare, Yavar Naddaf, Joel Veness, Michael Bowling
2014	J	`jnl`	Do pokers players know how good they are? Accuracy of poker skill estimation in online and offline players. Comput. Hum. Behav. T. L. MacKay, Nolan Bard, Michael Bowling, David C. Hodgins
2014	J	`jnl`	Domain-Independent Optimistic Initialization for Reinforcement Learning. CoRR Marlos C. Machado, Sriram Srinivasan, Michael Bowling
2014	J	`jnl`	Solving Games with Functional Regret Estimation. CoRR Kevin Waugh, Dustin Morrill, J. Andrew Bagnell, Michael Bowling
2014	A*	`conf`	Solving Imperfect Information Games Using Decomposition. AAAI Neil Burch, Michael Johanson, Michael Bowling
2014	A*	`conf`	Using Response Functions to Measure Strategy Strength. AAAI Trevor Davis, Neil Burch, Michael Bowling
2013	—	`conf`	A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning. ICML (1) Arash Afkanpour, András György, Csaba Szepesvári, Michael Bowling
2013	J	`jnl`	Alignment based kernel learning with a continuous set of base kernels. Mach. Learn. Arash Afkanpour, Csaba Szepesvári, Michael Bowling
2013	A*	`conf`	Automating Collusion Detection in Sequential Games. AAAI Parisa Mazrooei, Christopher Archibald, Michael Bowling
2013	A	`conf`	Baseline: practical control variates for agent evaluation in zero-sum domains. AAMAS Joshua Davidson, Christopher Archibald, Michael Bowling
2013	—	`conf`	Bayesian Learning of Recursively Factored Environments. ICML (3) Marc G. Bellemare, Joel Veness, Michael Bowling
2013	J	`jnl`	CFR-D: Solving Imperfect Information Games Using Decomposition CoRR Neil Burch, Michael Bowling
2013	A	`conf`	Evaluating state-space abstractions in extensive-form games. AAMAS Michael Johanson, Neil Burch, Richard Anthony Valenzano, Michael Bowling
2013	A*	`conf`	Linear Fitted-Q Iteration with Multiple Reward Functions. ICAPS Daniel J. Lizotte, Michael Bowling, Susan A. Murphy
2013	A	`conf`	Online implicit agent modelling. AAMAS Nolan Bard, Michael Johanson, Neil Burch, Michael Bowling
2013	B	`conf`	Partition Tree Weighting. DCC Joel Veness, Martha White, Michael Bowling, András György
2013	A	`conf`	Rating players in games with real-valued outcomes. AAMAS Christopher Archibald, Neil Burch, Michael Bowling, Matthew J. Rutherford
2013	A*	`conf`	Subset Selection of Search Heuristics. IJCAI D. Chris Rayner, Nathan R. Sturtevant, Michael Bowling
2013	J	`jnl`	The Arcade Learning Environment: An Evaluation Platform for General Agents. J. Artif. Intell. Res. Marc G. Bellemare, Yavar Naddaf, Joel Veness, Michael Bowling
2012	J	`jnl`	Bayes' Bluff: Opponent Modelling in Poker CoRR Finnegan Southey, Michael Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner
2012	J	`jnl`	Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping CoRR Richard S. Sutton, Csaba Szepesvári, Alborz Geramifard, Michael Bowling
2012	A	`conf`	Efficient Nash equilibrium approximation through Monte Carlo counterfactual regret minimization. AAMAS Michael Johanson, Nolan Bard, Marc Lanctot, Richard G. Gibson, Michael Bowling
2012	A*	`conf`	Finding Optimal Abstract Strategies in Extensive-Form Games. AAAI Michael Johanson, Nolan Bard, Neil Burch, Michael Bowling
2012	A*	`conf`	Generalized Sampling and Variance in Counterfactual Regret Minimization. AAAI Richard G. Gibson, Marc Lanctot, Neil Burch, Duane Szafron, Michael Bowling
2012	A*	`conf`	Investigating Contingency Awareness Using Atari 2600 Games. AAAI Marc G. Bellemare, Joel Veness, Michael Bowling
2012	—	`conf`	Keynotes [abstracts of three keynote presentations]. CIG Jeff Orkin, Gillian Smith, Michael Bowling
2012	J	`jnl`	Linear fitted-Q iteration with multiple reward functions. J. Mach. Learn. Res. Daniel J. Lizotte, Michael Bowling, Susan A. Murphy
2012	A*	`conf`	No-Regret Learning in Extensive-Form Games with Imperfect Recall. ICML Marc Lanctot, Richard G. Gibson, Neil Burch, Michael Bowling
2012	J	`jnl`	On Local Regret CoRR Michael Bowling, Martin Zinkevich
2012	A*	`conf`	On Local Regret. ICML Michael Bowling, Martin Zinkevich
2012	J	`jnl`	Partition Tree Weighting CoRR Joel Veness, Martha White, Michael Bowling, András György
2012	—	`conf`	Sketch-Based Linear Value Function Approximation. NIPS Marc G. Bellemare, Joel Veness, Michael Bowling
2012	J	`jnl`	The Arcade Learning Environment: An Evaluation Platform for General Agents CoRR Marc G. Bellemare, Yavar Naddaf, Joel Veness, Michael Bowling
2012	—	`conf`	Tractable Objectives for Robust Policy Optimization. NIPS Katherine Chen, Michael Bowling
2004	—	`conf`	Safe Strategies for Agent Modelling in Games. AAAI Technical Report (2) Peter McCracken, Michael Bowling
1999	—	`conf`	Motion control in dynamic multi-robot environments. CIRA Michael Bowling, Manuela M. Veloso