Marlos C. Machado
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
7
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Representation-driven Option Discovery in Reinforcement Learning. | Marlos C. Machado |
| 2025 | ICLR | MaestroMotif: Skill Design from Artificial Intelligence Feedback. | Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro |
| 2025 | ICLR | Learning Continually by Spectral Regularization. | Alex Lewandowski, Michal Bortkiewicz, Saurabh Kumar, Andrs Gyrgy, Dale Schuurmans, Mateusz Ostaszewski, Marlos C. Machado |
| 2025 | ICLR | Plastic Learning with Deep Fourier Features. | Alex Lewandowski, Dale Schuurmans, Marlos C. Machado |
| 2024 | AAAI | Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint). | Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White |
| 2024 | ICLR | Proper Laplacian Representation Learning. | Diego Gomez, Michael Bowling, Marlos C. Machado |
| 2024 | ICML | Averaging n-step Returns Reduces Variance in Reinforcement Learning. | Brett Daley, Martha White, Marlos C. Machado |
| 2023 | ICML | Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning. | Brett Daley, Martha White, Christopher Amato, Marlos C. Machado |
| 2023 | ICML | Deep Laplacian-based Options for Temporally-Extended Exploration. | Martin Klissarov, Marlos C. Machado |
| 2022 | AISTATS | A general class of surrogate functions for stable and efficient reinforcement learning. | Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Mller, Shivam Garg, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux |
| 2022 | UAI | Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL. | Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio |
| 2021 | ICLR | Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning. | Rishabh Agarwal, Marlos C. Machado, Pablo Samuel Castro, Marc G. Bellemare |
| 2021 | ICML | Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization. | Wesley Chung, Valentin Thomas, Marlos C. Machado, Nicolas Le Roux |
| 2020 | AAAI | Count-Based Exploration with the Successor Representation. | Marlos C. Machado, Marc G. Bellemare, Michael Bowling |
| 2020 | ICLR | Exploration in Reinforcement Learning with Deep Covering Options. | Yuu Jinnai, Jee Won Park, Marlos C. Machado, George Dimitri Konidaris |
| 2020 | ICLR | On Bonus Based Exploration Methods In The Arcade Learning Environment. | Adrien Ali Taga, William Fedus, Marlos C. Machado, Aaron C. Courville, Marc G. Bellemare |
| 2018 | ICLR | Eigenoption Discovery through the Deep Successor Representation. | Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell |
| 2018 | IJCAI | 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 |
| 2018 | IROS | Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation. | Craig Sherstan, Marlos C. Machado, Patrick M. Pilarski |
| 2017 | ICML | A Laplacian Framework for Option Discovery in Reinforcement Learning. | Marlos C. Machado, Marc G. Bellemare, Michael H. Bowling |
| 2015 | AAAI | Domain-Independent Optimistic Initialization for Reinforcement Learning. | Marlos C. Machado, Sriram Srinivasan, Michael H. Bowling |