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Michael Bowling
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games

Feb 13, 2021
Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy Greenwald

* 32 pages, 6 figures 
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Solving Common-Payoff Games with Approximate Policy Iteration

Jan 11, 2021
Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot

* AAAI 2021 
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Hindsight and Sequential Rationality of Correlated Play

Dec 17, 2020
Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy Greenwald, Michael Bowling

* Technical report for a paper to appear at AAAI 2021. 26 pages, 15 figures 
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Useful Policy Invariant Shaping from Arbitrary Advice

Nov 02, 2020
Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling

* 9 pages, 6 figures, Adaptive and Learning Agents (ALA) 2020 Workshop 
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The Advantage Regret-Matching Actor-Critic

Aug 27, 2020
Audrūnas Gruslys, Marc Lanctot, Rémi Munos, Finbarr Timbers, Martin Schmid, Julien Perolat, Dustin Morrill, Vinicius Zambaldi, Jean-Baptiste Lespiau, John Schultz, Mohammad Gheshlaghi Azar, Michael Bowling, Karl Tuyls


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Marginal Utility for Planning in Continuous or Large Discrete Action Spaces

Jun 17, 2020
Zaheen Farraz Ahmad, Levi H. S. Lelis, Michael Bowling


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Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task

Apr 28, 2020
Katya Kudashkina, Valliappa Chockalingam, Graham W. Taylor, Michael Bowling


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Approximate exploitability: Learning a best response in large games

Apr 20, 2020
Finbarr Timbers, Edward Lockhart, Martin Schmid, Marc Lanctot, Michael Bowling


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Alternative Function Approximation Parameterizations for Solving Games: An Analysis of $f$-Regression Counterfactual Regret Minimization

Dec 06, 2019
Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling

* 11 pages, includes appendix. arXiv admin note: text overlap with arXiv:1910.01706 
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Low-Variance and Zero-Variance Baselines for Extensive-Form Games

Jul 22, 2019
Trevor Davis, Martin Schmid, Michael Bowling

* Under review for NeurIPS 2019 
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Rethinking Formal Models of Partially Observable Multiagent Decision Making

Jun 26, 2019
Vojtěch Kovařík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý


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Ease-of-Teaching and Language Structure from Emergent Communication

Jun 06, 2019
Fushan Li, Michael Bowling


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The Hanabi Challenge: A New Frontier for AI Research

Feb 01, 2019
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

* 37 pages, 5 figures, submitted to Artificial Intelligence 
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Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning

Nov 04, 2018
Jakob N. Foerster, Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew Botvinick, Michael Bowling


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Actor-Critic Policy Optimization in Partially Observable Multiagent Environments

Oct 21, 2018
Sriram Srinivasan, Marc Lanctot, Vinicius Zambaldi, Julien Perolat, Karl Tuyls, Remi Munos, Michael Bowling

* NIPS 2018 
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Generalization and Regularization in DQN

Sep 29, 2018
Jesse Farebrother, Marlos C. Machado, Michael Bowling


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Solving Large Extensive-Form Games with Strategy Constraints

Sep 20, 2018
Trevor Davis, Kevin Waugh, Michael Bowling

* Submitted to AAAI 2019 
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Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines

Sep 09, 2018
Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling


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Count-Based Exploration with the Successor Representation

Aug 14, 2018
Marlos C. Machado, Marc G. Bellemare, Michael Bowling


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The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces

Jun 08, 2018
G. Zacharias Holland, Erik Talvitie, Michael Bowling


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Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

Dec 01, 2017
Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew Hausknecht, Michael Bowling


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A Laplacian Framework for Option Discovery in Reinforcement Learning

Jun 16, 2017
Marlos C. Machado, Marc G. Bellemare, Michael Bowling

* Appearing in the Proceedings of the 34th International Conference on Machine Learning (ICML) 
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DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker

Mar 03, 2017
Matej Moravčík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael Bowling


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AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games

Jan 19, 2017
Neil Burch, Martin Schmid, Matej Moravčík, Michael Bowling

* To appear at AAAI-17 Workshop on Computer Poker and Imperfect Information Games 
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Learning Purposeful Behaviour in the Absence of Rewards

May 25, 2016
Marlos C. Machado, Michael Bowling

* Extended version of the paper presented at the workshop entitled Abstraction in Reinforcement Learning, at the 33rd International Conference on Machine Learning, New York, NY, USA, 2016 
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State of the Art Control of Atari Games Using Shallow Reinforcement Learning

Apr 21, 2016
Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael Bowling

* A shorter version of this paper appears in the Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016) 
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Solving Games with Functional Regret Estimation

Dec 31, 2014
Kevin Waugh, Dustin Morrill, J. Andrew Bagnell, Michael Bowling

* AAAI Conference on Artificial Intelligence 2015 
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Domain-Independent Optimistic Initialization for Reinforcement Learning

Oct 16, 2014
Marlos C. Machado, Sriram Srinivasan, Michael Bowling


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