Bowling, Michael

65 publications

TMLR 2025 Learning to Be Cautious Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai, Yash Satsangi, Michael Bowling

ICML 2025 Model-Based Exploration in Monitored Markov Decision Processes Alireza Kazemipour, Matthew E. Taylor, Michael Bowling

NeurIPS 2025 Plasticity as the Mirror of Empowerment David Abel, Michael Bowling, Andre Barreto, Will Dabney, Shi Dong, Steven Stenberg Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh

NeurIPS 2024 A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning Jacob Adkins, Michael Bowling, Adam White

NeurIPS 2024 Beyond Optimism: Exploration with Partially Observable Rewards Simone Parisi, Alireza Kazemipour, Michael Bowling

AAAI 2024 Learning Not to Regret David Sychrovsky, Michal Sustr, Elnaz Davoodi, Michael Bowling, Marc Lanctot, Martin Schmid

JAIR 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

ICLR 2024 Proper Laplacian Representation Learning Diego Gomez, Michael Bowling, Marlos C. Machado

NeurIPS 2024 Real-Time Recurrent Learning Using Trace Units in Reinforcement Learning Esraa Elelimy, Adam White, Michael Bowling, Martha White

NeurIPSW 2023 Global CFR: Meta-Learning in Self-Play Regret Minimization David Sychrovský, Michal Sustr, Michael Bowling, Martin Schmid

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

ICML 2023 Settling the Reward Hypothesis Michael Bowling, John D Martin, David Abel, Will Dabney

JMLR 2023 Temporal Abstraction in Reinforcement Learning with the Successor Representation Marlos C. Machado, Andre Barreto, Doina Precup, 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 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

NeurIPSW 2022 Learning to Prioritize Planning Updates in Model-Based Reinforcement Learning Bradley Burega, John D Martin, Michael Bowling

ICML 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

AAAI 2021 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

JAIR 2021 Teaching People by Justifying Tree Search Decisions: An Empirical Study in Curling Cleyton R. Silva, Michael Bowling, Levi H. S. Lelis

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

ICML 2020 Low-Variance and Zero-Variance Baselines for Extensive-Form Games Trevor Davis, Martin Schmid, Michael Bowling

NeurIPS 2020 Marginal Utility for Planning in Continuous or Large Discrete Action Spaces Zaheen Ahmad, Levi Lelis, Michael Bowling

ICML 2019 Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning Jakob Foerster, Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew Botvinick, Michael Bowling

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

AAAI 2019 Solving Large Extensive-Form Games with Strategy Constraints Trevor Davis, 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 2018 AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games Neil Burch, Martin Schmid, Matej Moravcik, Dustin Morrill, Michael Bowling

NeurIPS 2018 Actor-Critic Policy Optimization in Partially Observable Multiagent Environments Sriram Srinivasan, Marc Lanctot, Vinicius Zambaldi, Julien Perolat, Karl Tuyls, Remi Munos, Michael Bowling

JAIR 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

IJCAI 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

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

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

NeurIPS 2016 The Forget-Me-Not Process Kieran Milan, Joel Veness, James Kirkpatrick, Michael Bowling, Anna Koop, Demis Hassabis

AAAI 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 Optimal Estimation of Multivariate ARMA Models Martha White, Junfeng Wen, Michael Bowling, Dale Schuurmans

AAAI 2015 Policy Tree: Adaptive Representation for Policy Gradient Ujjwal Das Gupta, Erik Talvitie, Michael Bowling

IJCAI 2015 Solving Heads-up Limit Texas Hold'em Oskari Tammelin, Neil Burch, Michael Johanson, Michael Bowling

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

AAAI 2014 Solving Imperfect Information Games Using Decomposition Neil Burch, Michael Johanson, Michael Bowling

AAAI 2014 Using Response Functions to Measure Strategy Strength Trevor Davis, Neil Burch, Michael Bowling

ICML 2013 A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning Arash Afkanpour, András György, Csaba Szepesvari, Michael Bowling

MLJ 2013 Alignment Based Kernel Learning with a Continuous Set of Base Kernels Arash Afkanpour, Csaba Szepesvári, Michael Bowling

AAAI 2013 Automating Collusion Detection in Sequential Games Parisa Mazrooei, Christopher Archibald, Michael Bowling

ICML 2013 Bayesian Learning of Recursively Factored Environments Marc Bellemare, Joel Veness, Michael Bowling

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

JAIR 2013 The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare, Yavar Naddaf, Joel Veness, Michael Bowling

AAAI 2012 Finding Optimal Abstract Strategies in Extensive-Form Games Michael Johanson, Nolan Bard, Neil Burch, 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 Investigating Contingency Awareness Using Atari 2600 Games Marc G. Bellemare, Joel Veness, Michael Bowling

JMLR 2012 Linear Fitted-Q Iteration with Multiple Reward Functions Daniel J. Lizotte, Michael Bowling, Susan A. Murphy

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

ICML 2012 On Local Regret Michael Bowling, Martin Zinkevich

NeurIPS 2012 Sketch-Based Linear Value Function Approximation Marc Bellemare, Joel Veness, Michael Bowling

NeurIPS 2012 Tractable Objectives for Robust Policy Optimization Katherine Chen, Michael Bowling

NeurIPS 2011 Variance Reduction in Monte-Carlo Tree Search Joel Veness, Marc Lanctot, Michael Bowling

AISTATS 2009 Data Biased Robust Counter Strategies Michael Johanson, Michael Bowling

NeurIPS 2009 Monte Carlo Sampling for Regret Minimization in Extensive Games Marc Lanctot, Kevin Waugh, Martin Zinkevich, Michael Bowling

NeurIPS 2009 Strategy Grafting in Extensive Games Kevin Waugh, Nolan Bard, Michael Bowling

NeurIPS 2007 Computing Robust Counter-Strategies Michael Johanson, Martin Zinkevich, Michael Bowling

NeurIPS 2007 Regret Minimization in Games with Incomplete Information Martin Zinkevich, Michael Johanson, Michael Bowling, Carmelo Piccione

NeurIPS 2007 Stable Dual Dynamic Programming Tao Wang, Michael Bowling, Dale Schuurmans, Daniel J. Lizotte

NeurIPS 2006 iLSTD: Eligibility Traces and Convergence Analysis Alborz Geramifard, Michael Bowling, Martin Zinkevich, Richard S. Sutton

NeurIPS 2005 Online Discovery and Learning of Predictive State Representations Peter Mccracken, Michael Bowling

NeurIPS 2004 Convergence and No-Regret in Multiagent Learning Michael Bowling