Machado, Marlos C.

30 publications

ICLR 2025 Learning Continually by Spectral Regularization Alex Lewandowski, Michał Bortkiewicz, Saurabh Kumar, András György, Dale Schuurmans, Mateusz Ostaszewski, Marlos C. Machado

ICLR 2025 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

ICLR 2025 Plastic Learning with Deep Fourier Features Alex Lewandowski, Dale Schuurmans, Marlos C. Machado

AAAI 2025 Representation-Driven Option Discovery in Reinforcement Learning Marlos C. Machado

NeurIPS 2025 Reward-Aware Proto-Representations in Reinforcement Learning Hon Tik Tse, Siddarth Chandrasekar, Marlos C. Machado

NeurIPS 2025 The World Is Bigger! a Computationally-Embedded Perspective on the Big World Hypothesis Alex Lewandowski, Aditya A. Ramesh, Edan Meyer, Dale Schuurmans, Marlos C. Machado

TMLR 2024 AGaLiTe: Approximate Gated Linear Transformers for Online Reinforcement Learning Subhojeet Pramanik, Esraa Elelimy, Marlos C. Machado, Adam White

ICML 2024 Averaging $n$-Step Returns Reduces Variance in Reinforcement Learning Brett Daley, Martha White, Marlos C. Machado

MLJ 2024 GVFs in the Real World: Making Predictions Online for Water Treatment Muhammad Kamran Janjua, Haseeb Shah, Martha White, Erfan Miahi, Marlos C. Machado, Adam White

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

AAAI 2024 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

TMLR 2023 Agent-State Construction with Auxiliary Inputs Ruo Yu Tao, Adam White, Marlos C. Machado

ICML 2023 Deep Laplacian-Based Options for Temporally-Extended Exploration Martin Klissarov, Marlos C. Machado

CoLLAs 2023 Loss of Plasticity in Continual Deep Reinforcement Learning Zaheer Abbas, Rosie Zhao, Joseph Modayil, Adam White, Marlos C. Machado

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

ICML 2023 Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning Brett Daley, Martha White, Christopher Amato, Marlos C. Machado

AISTATS 2022 A General Class of Surrogate Functions for Stable and Efficient Reinforcement Learning Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Müller, Shivam Garg, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux

UAI 2022 Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Denoyer Ludovic, Yoshua Bengio

ICML 2021 Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization Wesley Chung, Valentin Thomas, Marlos C. Machado, Nicolas Le Roux

ICLR 2021 Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning Rishabh Agarwal, Marlos C. Machado, Pablo Samuel Castro, Marc G Bellemare

ICMLW 2021 Exploration-Driven Representation Learning in Reinforcement Learning Akram Erraqabi, Harry Zhao, Marlos C. Machado, Yoshua Bengio, Sainbayar Sukhbaatar, Ludovic Denoyer, Alessandro Lazaric

NeurIPS 2020 An Operator View of Policy Gradient Methods Dibya Ghosh, Marlos C. Machado, Nicolas Le Roux

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

ICLR 2020 Exploration in Reinforcement Learning with Deep Covering Options Yuu Jinnai, Jee Won Park, Marlos C. Machado, George Konidaris

ICLR 2020 On Bonus Based Exploration Methods in the Arcade Learning Environment Adrien Ali Taiga, William Fedus, Marlos C. Machado, Aaron Courville, Marc G. Bellemare

ICLR 2018 Eigenoption Discovery Through the Deep Successor Representation Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell

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

JMLR 2016 True Online Temporal-Difference Learning Harm van Seijen, A. Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard S. Sutton