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Temporal Abstraction in Reinforcement Learning with the Successor Representation


Oct 12, 2021
Marlos C. Machado, Andre Barreto, Doina Precup

* 56 pages, 28 figures 

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On Bonus-Based Exploration Methods in the Arcade Learning Environment


Sep 22, 2021
Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron Courville, Marc G. Bellemare

* Published as a conference paper at ICLR 2020 
* Full version of arXiv:1908.02388 

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A functional mirror ascent view of policy gradient methods with function approximation


Aug 12, 2021
Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Mueller, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux


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Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning


Jan 13, 2021
Rishabh Agarwal, Marlos C. Machado, Pablo Samuel Castro, Marc G. Bellemare

* Accepted at ICLR 2021 (Spotlight). Website: https://agarwl.github.io/pse 

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Beyond variance reduction: Understanding the true impact of baselines on policy optimization


Aug 31, 2020
Wesley Chung, Valentin Thomas, Marlos C. Machado, Nicolas Le Roux


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An operator view of policy gradient methods


Jun 22, 2020
Dibya Ghosh, Marlos C. Machado, Nicolas Le Roux


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Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment


Aug 06, 2019
Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron Courville, Marc G. Bellemare

* Accepted at the second Exploration in Reinforcement Learning Workshop at the 36th International Conference on Machine Learning, Long Beach, California 

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Generalization and Regularization in DQN


Sep 29, 2018
Jesse Farebrother, Marlos C. Machado, 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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Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation


Mar 23, 2018
Craig Sherstan, Marlos C. Machado, Patrick M. Pilarski


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Eigenoption Discovery through the Deep Successor Representation


Feb 23, 2018
Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell

* Published as a conference paper at ICLR 2018 

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The Eigenoption-Critic Framework


Dec 11, 2017
Miao Liu, Marlos C. Machado, Gerald Tesauro, Murray Campbell


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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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True Online Temporal-Difference Learning


Sep 08, 2016
Harm van Seijen, A. Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard S. Sutton

* Journal of Machine Learning Research (JMLR), 17(145):1-40, 2016 
* This is the published JMLR version. It is a much improved version. The main changes are: 1) re-structuring of the article; 2) additional analysis on the forward view; 3) empirical comparison of traditional and new forward view; 4) added discussion of other true online papers; 5) updated discussion for non-linear function approximation 

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Introspective Agents: Confidence Measures for General Value Functions


Jun 17, 2016
Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski

* Accepted for presentation at the Ninth Conference on Artificial General Intelligence (AGI 2016), 4 pages, 1 figure 

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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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Domain-Independent Optimistic Initialization for Reinforcement Learning


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


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A Methodology for Player Modeling based on Machine Learning


Dec 13, 2013
Marlos C. Machado

* Thesis presented by Marlos C. Machado as part of the requirements for the degree or Master of Science in Computer Science granted by the Universidade Federal de Minas Gerais. February, 18th, 2013 

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