Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents von Machado, Marlos C., Bellemare, Marc G., Talvitie, Erik, Veness, Joel, Hausknecht, Matthew, Bowling, Michael

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Autonomous navigation of stratospheric balloons using reinforcement learning von Bellemare, Marc G., Candido, Salvatore, Castro, Pablo Samuel, Gong, Jun, Machado, Marlos C., Moitra, Subhodeep, Ponda, Sameera S., Wang, Ziyu

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Reports on the 2015 AAAI Workshop Series von Albrecht, Stefano V., Beck, J. Christopher, Buckeridge, David L., Botea, Adi, Caragea, Cornelia, Chi, Chi‐hung, Damoulas, Theodoros, Dilkina, Bistra, Eaton, Eric, Fazli, Pooyan, Ganzfried, Sam, Giles, C. Lee, Guillet, Sébastien, Holte, Robert, Hutter, Frank, Koch, Thorsten, Leonetti, Matteo, Lindauer, Marius, Machado, Marlos C., Malitsky, Yuri, Marcus, Gary, Meijer, Sebastiaan, Rossi, Francesca, Shaban‐Nejad, Arash, Thiebaux, Sylvie, Veloso, Manuela, Walsh, Toby, Wang, Can, Zhang, Jie, Zheng, Yu

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GVFs in the real world: making predictions online for water treatment von Janjua, Muhammad Kamran, Shah, Haseeb, White, Martha, Miahi, Erfan, Machado, Marlos C., White, Adam

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Investigating the properties of neural network representations in reinforcement learning von Wang, Han, Miahi, Erfan, White, Martha, Machado, Marlos C., Abbas, Zaheer, Kumaraswamy, Raksha, Liu, Vincent, White, Adam

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Reward-respecting subtasks for model-based reinforcement learning von Sutton, Richard S., Machado, Marlos C., Holland, G. Zacharias, Szepesvari, David, Timbers, Finbarr, Tanner, Brian, White, Adam

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Plastic Learning with Deep Fourier Features von Lewandowski, Alex, Schuurmans, Dale, Machado, Marlos C

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Deep Laplacian-based Options for Temporally-Extended Exploration von Klissarov, Martin, Machado, Marlos C

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Demystifying the Recency Heuristic in Temporal-Difference Learning von Daley, Brett, Machado, Marlos C, White, Martha

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Averaging $n$-step Returns Reduces Variance in Reinforcement Learning von Daley, Brett, White, Martha, Machado, Marlos C

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Harnessing Discrete Representations For Continual Reinforcement Learning von Meyer, Edan, White, Adam, Machado, Marlos C

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Proper Laplacian Representation Learning von Gomez, Diego, Bowling, Michael, Machado, Marlos C

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Introspective Agents: Confidence Measures for General Value Functions von Sherstan, Craig, White, Adam, Machado, Marlos C., Pilarski, Patrick M.

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Directions of Curvature as an Explanation for Loss of Plasticity von Lewandowski, Alex, Tanaka, Haruto, Schuurmans, Dale, Machado, Marlos C

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

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

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

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

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Deep Laplacian-based Options for Temporally-Extended Exploration von Klissarov, Martin, Machado, Marlos C

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Plastic Learning with Deep Fourier Features von Lewandowski, Alex, Schuurmans, Dale, Machado, Marlos C

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