Michael Bowling

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 72

Top Venues

CoRR

AAAI

IJCAI

AAMAS

Publications

David Sychrovsky, Michal Sustr, Elnaz Davoodi, Michael Bowling, Marc Lanctot, Martin Schmid
Learning Not to Regret. AAAI (2024)
Diego Gomez, Michael Bowling, Marlos C. Machado
Proper Laplacian Representation Learning. ICLR (2024)
Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew E. Taylor, Michael Bowling
Monitored Markov Decision Processes. CoRR (2024)
Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew E. Taylor, Michael Bowling
Monitored Markov Decision Processes. AAMAS (2024)
Simone Parisi, Alireza Kazemipour, Michael Bowling
Beyond Optimism: Exploration With Partially Observable Rewards. CoRR (2024)
Bradley Burega, John D. Martin, Luke Kapeluck, Michael Bowling
Meta-Gradient Search Control: A Method for Improving the Efficiency of Dyna-style Planning. CoRR (2024)
Farzane Aminmansour, Taher Jafferjee, Ehsan Imani, Erin J. Talvitie, Michael Bowling, Martha White
Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models. J. Artif. Intell. Res. 80 (2024)
Zahra Bashir, Michael Bowling, Levi H. S. Lelis
Assessing the Interpretability of Programmatic Policies with Large Language Models. CoRR (2023)
Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý
Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract). IJCAI (2023)
Alexandre Trudeau, Michael Bowling
Targeted Search Control in AlphaZero for Effective Policy Improvement. AAMAS (2023)
Alexandre Trudeau, Michael Bowling
Targeted Search Control in AlphaZero for Effective Policy Improvement. CoRR (2023)
Marlos C. Machado, André Barreto, Doina Precup, Michael Bowling
Temporal Abstraction in Reinforcement Learning with the Successor Representation. J. Mach. Learn. Res. 24 (2023)
Michael Bowling, John D. Martin, David Abel, Will Dabney
Settling the Reward Hypothesis. ICML (2023)
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
TacticAI: an AI assistant for football tactics. CoRR (2023)
Diego Gomez, Michael Bowling, Marlos C. Machado
Proper Laplacian Representation Learning. CoRR (2023)
Dustin Morrill, Esra'a Saleh, Michael Bowling, Amy Greenwald
Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration. CoRR (2022)
Esra'a Saleh, John D. Martin, Anna Koop, Arash Pourzarabi, Michael Bowling
Should Models Be Accurate? CoRR (2022)
Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý
Rethinking formal models of partially observable multiagent decision making. Artif. Intell. 303 (2022)
Aleksandra Kalinowska, Elnaz Davoodi, Florian Strub, Kory W. Mathewson, Ivana Kajic, Michael Bowling, Todd D. Murphey, Patrick M. Pilarski
Over-communicate no more: Situated RL agents learn concise communication protocols. CoRR (2022)
Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling
Approximate Exploitability: Learning a Best Response. IJCAI (2022)
Michael Bowling, John D. Martin, David Abel, Will Dabney
Settling the Reward Hypothesis. CoRR (2022)
Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling
Policy invariant explicit shaping: an efficient alternative to reward shaping. Neural Comput. Appl. 34 (3) (2022)
Levi H. S. Lelis, João G. G. V. Nova, Eugene Chen, Nathan R. Sturtevant, Carrie Demmans Epp, Michael Bowling
Learning Curricula for Humans: An Empirical Study with Puzzles from The Witness. IJCAI (2022)
Martin Schmid, Matej Moravcik, Neil Burch, Rudolf Kadlec, Joshua Davidson, Kevin Waugh, Nolan Bard, Finbarr Timbers, Marc Lanctot, Zach Holland, Elnaz Davoodi, Alden Christianson, Michael Bowling
Player of Games. CoRR (2021)
Dustin Morrill, Amy R. Greenwald, Michael Bowling
The Partially Observable History Process. CoRR (2021)
Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai, Yash Satsangi, Michael Bowling
Learning to Be Cautious. CoRR (2021)
Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy R. Greenwald
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. ICML (2021)
Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot
Solving Common-Payoff Games with Approximate Policy Iteration. AAAI (2021)
Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy R. Greenwald, Michael Bowling
Hindsight and Sequential Rationality of Correlated Play. AAAI (2021)
Cleyton R. Silva, Michael Bowling, Levi H. S. Lelis
Teaching People by Justifying Tree Search Decisions: An Empirical Study in Curling. J. Artif. Intell. Res. 72 (2021)
Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot
Solving Common-Payoff Games with Approximate Policy Iteration. CoRR (2021)
Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy Greenwald
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. CoRR (2021)
Michal Sustr, Martin Schmid, Matej Moravcík, Neil Burch, Marc Lanctot, Michael Bowling
Sound Algorithms in Imperfect Information Games. AAMAS (2021)
Chris Alvin, Michael Bowling, Shaelyn Rivers-Green, Deric Siglin, Lori Alvin
Toward a Competitive Agent Framework for Magic: The Gathering. FLAIRS Conference (2021)
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
The Advantage Regret-Matching Actor-Critic. CoRR (2020)
Marlos C. Machado, Marc G. Bellemare, Michael Bowling
Count-Based Exploration with the Successor Representation. AAAI (2020)
Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy Greenwald, Michael Bowling
Hindsight and Sequential Rationality of Correlated Play. CoRR (2020)
Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of ƒ-Regression Counterfactual Regret Minimization. AAMAS (2020)
Zaheen Farraz Ahmad, Levi Lelis, Michael Bowling
Marginal Utility for Planning in Continuous or Large Discrete Action Spaces. NeurIPS (2020)
Michal Sustr, Martin Schmid, Matej Moravcík, Neil Burch, Marc Lanctot, Michael Bowling
Sound Search in Imperfect Information Games. CoRR (2020)
Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling
Useful Policy Invariant Shaping from Arbitrary Advice. CoRR (2020)
Katya Kudashkina, Valliappa Chockalingam, Graham W. Taylor, Michael Bowling
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task. CoRR (2020)
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
The Hanabi challenge: A new frontier for AI research. Artif. Intell. 280 (2020)
Finbarr Timbers, Edward Lockhart, Martin Schmid, Marc Lanctot, Michael Bowling
Approximate exploitability: Learning a best response in large games. CoRR (2020)
Trevor Davis, Martin Schmid, Michael Bowling
Low-Variance and Zero-Variance Baselines for Extensive-Form Games. ICML (2020)
Zaheen Farraz Ahmad, Levi H. S. Lelis, Michael Bowling
Marginal Utility for Planning in Continuous or Large Discrete Action Spaces. CoRR (2020)
Taher Jafferjee, Ehsan Imani, Erin Talvitie, Martha White, Michael Bowling
Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models. CoRR (2020)
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
The Hanabi Challenge: A New Frontier for AI Research. CoRR (2019)
Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew Botvinick, Michael Bowling
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. ICML (2019)
Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines. AAAI (2019)
Fushan Li, Michael Bowling
Ease-of-Teaching and Language Structure from Emergent Communication. CoRR (2019)
Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization. CoRR (2019)
Trevor Davis, Kevin Waugh, Michael Bowling
Solving Large Extensive-Form Games with Strategy Constraints. AAAI (2019)
Fushan Li, Michael Bowling
Ease-of-Teaching and Language Structure from Emergent Communication. NeurIPS (2019)
Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý
Rethinking Formal Models of Partially Observable Multiagent Decision Making. CoRR (2019)
Trevor Davis, Martin Schmid, Michael Bowling
Low-Variance and Zero-Variance Baselines for Extensive-Form Games. CoRR (2019)
Trevor Davis, Kevin Waugh, Michael Bowling
Solving Large Extensive-Form Games with Strategy Constraints. CoRR (2018)
Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew Botvinick, Michael Bowling
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. CoRR (2018)
Marlos C. Machado, Marc G. Bellemare, Michael Bowling
Count-Based Exploration with the Successor Representation. CoRR (2018)
Sriram Srinivasan, Marc Lanctot, Vinícius Flores Zambaldi, Julien Pérolat, Karl Tuyls, Rémi Munos, Michael Bowling
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments. NeurIPS (2018)
Jesse Farebrother, Marlos C. Machado, Michael Bowling
Generalization and Regularization in DQN. CoRR (2018)
Sriram Srinivasan, Marc Lanctot, Vinícius Flores Zambaldi, Julien Pérolat, Karl Tuyls, Rémi Munos, Michael Bowling
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments. CoRR (2018)
Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines. CoRR (2018)
Neil Burch, Martin Schmid, Matej Moravcik, Dustin Morrill, Michael Bowling
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. AAAI (2018)
Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, Michael Bowling
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents. J. Artif. Intell. Res. 61 (2018)
Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, Michael Bowling
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract). IJCAI (2018)
G. Zacharias Holland, Erik Talvitie, Michael Bowling
The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces. CoRR (2018)
Neil Burch, Martin Schmid, Matej Moravcik, Michael Bowling
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. AAAI Workshops (2017)
Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, Michael Bowling
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents. CoRR (2017)
Viliam Lisý, Michael Bowling
Eqilibrium Approximation Quality of Current No-Limit Poker Bots. AAAI Workshops (2017)
Michael Bowling, Neil Burch, Michael Johanson, Oskari Tammelin
Heads-up limit hold'em poker is solved. Commun. ACM 60 (11) (2017)
Zaheen Farraz Ahmad, Robert C. Holte, Michael Bowling
Action Selection for Hammer Shots in Curling. IJCAI (2016)
Ujjwal Das Gupta, Erik Talvitie, Michael Bowling
Policy Tree: Adaptive Representation for Policy Gradient. AAAI (2015)
Kevin Waugh, Dustin Morrill, James Andrew Bagnell, Michael Bowling
Solving Games with Functional Regret Estimation. AAAI Workshop: Computer Poker and Imperfect Information (2015)
Marc G. Bellemare, Yavar Naddaf, Joel Veness, Michael Bowling
The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract). IJCAI (2015)
Nolan Bard, Deon Nicholas, Csaba Szepesvári, Michael Bowling
Decision-Theoretic Clustering of Strategies. AAAI Workshop: Computer Poker and Imperfect Information (2015)
Oskari Tammelin, Neil Burch, Michael Johanson, Michael Bowling
Solving Heads-Up Limit Texas Hold'em. IJCAI (2015)
Pascal Poupart, Aarti Malhotra, Pei Pei, Kee-Eung Kim, Bongseok Goh, Michael Bowling
Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes. AAAI (2015)
Martha White, Junfeng Wen, Michael Bowling, Dale Schuurmans
Optimal Estimation of Multivariate ARMA Models. AAAI (2015)
T. L. MacKay, Nolan Bard, Michael Bowling, David C. Hodgins
Do pokers players know how good they are? Accuracy of poker skill estimation in online and offline players. Comput. Hum. Behav. 31 (2014)
Trevor Davis, Neil Burch, Michael Bowling
Using Response Functions to Measure Strategy Strength. AAAI (2014)
Kevin Waugh, Dustin Morrill, J. Andrew Bagnell, Michael Bowling
Solving Games with Functional Regret Estimation. CoRR (2014)
Marlos C. Machado, Sriram Srinivasan, Michael Bowling
Domain-Independent Optimistic Initialization for Reinforcement Learning. CoRR (2014)
Neil Burch, Michael Johanson, Michael Bowling
Solving Imperfect Information Games Using Decomposition. AAAI (2014)
Joshua Davidson, Christopher Archibald, Michael Bowling
Baseline: practical control variates for agent evaluation in zero-sum domains. AAMAS (2013)
Marc G. Bellemare, Joel Veness, Michael Bowling
Bayesian Learning of Recursively Factored Environments. ICML (3) (2013)
Michael Johanson, Neil Burch, Richard Anthony Valenzano, Michael Bowling
Evaluating state-space abstractions in extensive-form games. AAMAS (2013)
Christopher Archibald, Neil Burch, Michael Bowling, Matthew Rutherford
Rating players in games with real-valued outcomes. AAMAS (2013)
Arash Afkanpour, Csaba Szepesvári, Michael Bowling
Alignment based kernel learning with a continuous set of base kernels. Mach. Learn. 91 (3) (2013)
Marc G. Bellemare, Yavar Naddaf, Joel Veness, Michael Bowling
The Arcade Learning Environment: An Evaluation Platform for General Agents. J. Artif. Intell. Res. 47 (2013)
Joel Veness, Martha White, Michael Bowling, András György
Partition Tree Weighting. DCC (2013)
Parisa Mazrooei, Christopher Archibald, Michael Bowling
Automating Collusion Detection in Sequential Games. AAAI (2013)
Neil Burch, Michael Bowling
CFR-D: Solving Imperfect Information Games Using Decomposition CoRR (2013)
Nolan Bard, Michael Johanson, Neil Burch, Michael Bowling
Online implicit agent modelling. AAMAS (2013)
Daniel J. Lizotte, Michael Bowling, Susan A. Murphy
Linear Fitted-Q Iteration with Multiple Reward Functions. ICAPS (2013)
D. Chris Rayner, Nathan R. Sturtevant, Michael Bowling
Subset Selection of Search Heuristics. IJCAI (2013)
Arash Afkanpour, András György, Csaba Szepesvári, Michael Bowling
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning. ICML (1) (2013)
Marc G. Bellemare, Joel Veness, Michael Bowling
Investigating Contingency Awareness Using Atari 2600 Games. AAAI (2012)
Marc G. Bellemare, Joel Veness, Michael Bowling
Sketch-Based Linear Value Function Approximation. NIPS (2012)
Joel Veness, Martha White, Michael Bowling, András György
Partition Tree Weighting CoRR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael Bowling