André Barreto

69 papers A* 23A 1Journal 41Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Agency Is Frame-Dependent. CoRR David Abel, André Barreto, Michael Bowling, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh
2025	J	`jnl`	Capturing Individual Human Preferences with Reward Features. CoRR André Barreto, Vincent Dumoulin, Yiran Mao, Nicolas Perez Nieves, Bobak Shahriari, Yann N. Dauphin, Doina Precup, Hugo Larochelle
2025	J	`jnl`	Constructing an Optimal Behavior Basis for the Option Keyboard. CoRR Lucas N. Alegre, Ana L. C. Bazzan, André Barreto, Bruno C. da Silva
2025	J	`jnl`	Optimizing Return Distributions with Distributional Dynamic Programming. CoRR Bernardo Ávila Pires, Mark Rowland, Diana Borsa, Zhaohan Daniel Guo, Khimya Khetarpal, André Barreto, David Abel, Rémi Munos, Will Dabney
2025	J	`jnl`	Optimizing Return Distributions with Distributional Dynamic Programming. J. Mach. Learn. Res. Bernardo Ávila Pires, Mark Rowland, Diana Borsa, Zhaohan Daniel Guo, Khimya Khetarpal, André Barreto, David Abel, Rémi Munos, Will Dabney
2025	J	`jnl`	Plasticity as the Mirror of Empowerment. CoRR David Abel, Michael Bowling, André Barreto, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh
2024	A*	`conf`	A Distributional Analogue to the Successor Representation. ICML Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Yunhao Tang, André Barreto, Will Dabney, Marc G. Bellemare, Mark Rowland
2024	J	`jnl`	A Distributional Analogue to the Successor Representation. CoRR Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Yunhao Tang, André Barreto, Will Dabney, Marc G. Bellemare, Mark Rowland
2024	A*	`conf`	Position: Video as the New Language for Real-World Decision Making. ICML Sherry Yang, Jacob C. Walker, Jack Parker-Holder, Yilun Du, Jake Bruce, André Barreto, Pieter Abbeel, Dale Schuurmans
2024	J	`jnl`	Video as the New Language for Real-World Decision Making. CoRR Sherry Yang, Jacob C. Walker, Jack Parker-Holder, Yilun Du, Jake Bruce, André Barreto, Pieter Abbeel, Dale Schuurmans
2023	A*	`conf`	A Definition of Continual Reinforcement Learning. NeurIPS David Abel, André Barreto, Benjamin Van Roy, Doina Precup, Hado Philip van Hasselt, Satinder Singh
2023	J	`jnl`	A Definition of Continual Reinforcement Learning. CoRR David Abel, André Barreto, Benjamin Van Roy, Doina Precup, Hado van Hasselt, Satinder Singh
2023	A*	`conf`	Deep Reinforcement Learning with Plasticity Injection. NeurIPS Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu, Will Dabney, André Barreto
2023	J	`jnl`	Deep Reinforcement Learning with Plasticity Injection. CoRR Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu, Will Dabney, André Barreto
2023	J	`jnl`	On the Convergence of Bounded Agents. CoRR David Abel, André Barreto, Hado van Hasselt, Benjamin Van Roy, Doina Precup, Satinder Singh
2023	J	`jnl`	Temporal Abstraction in Reinforcement Learning with the Successor Representation. J. Mach. Learn. Res. Marlos C. Machado, André Barreto, Doina Precup, Michael Bowling
2022	A*	`conf`	Approximate Value Equivalence. NeurIPS Christopher Grimm, André Barreto, Satinder Singh
2022	A*	`conf`	Generalised Policy Improvement with Geometric Policy Composition. ICML Shantanu Thakoor, Mark Rowland, Diana Borsa, Will Dabney, Rémi Munos, André Barreto
2022	J	`jnl`	Generalised Policy Improvement with Geometric Policy Composition. CoRR Shantanu Thakoor, Mark Rowland, Diana Borsa, Will Dabney, Rémi Munos, André Barreto
2022	A*	`conf`	Model-Value Inconsistency as a Signal for Epistemic Uncertainty. ICML Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, André Barreto, Simon Osindero
2022	A*	`conf`	The Phenomenon of Policy Churn. NeurIPS Tom Schaul, André Barreto, John Quan, Georg Ostrovski
2022	J	`jnl`	The Phenomenon of Policy Churn. CoRR Tom Schaul, André Barreto, John Quan, Georg Ostrovski
2021	J	`jnl`	Approximating Network Centrality Measures Using Node Embedding and Machine Learning. IEEE Trans. Netw. Sci. Eng. Matheus R. F. Mendonça, André Barreto, Artur Ziviani
2021	J	`jnl`	Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning. CoRR Víctor Campos, Pablo Sprechmann, Steven Hansen, André Barreto, Steven Kapturowski, Alex Vitvitskyi, Adrià Puigdomènech Badia, Charles Blundell
2021	J	`jnl`	Discovering Diverse Nearly Optimal Policies withSuccessor Features. CoRR Tom Zahavy, Brendan O'Donoghue, André Barreto, Volodymyr Mnih, Sebastian Flennerhag, Satinder Singh
2021	A*	`conf`	Discovering a set of policies for the worst case reward. ICLR Tom Zahavy, André Barreto, Daniel J. Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev, Satinder Singh
2021	J	`jnl`	Discovering a set of policies for the worst case reward. CoRR Tom Zahavy, André Barreto, Daniel J. Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev, Satinder Singh
2021	A*	`conf`	Expected Eligibility Traces. AAAI Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa
2021	J	`jnl`	Model-Value Inconsistency as a Signal for Epistemic Uncertainty. CoRR Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, André Barreto, Simon Osindero
2021	A*	`conf`	Proper Value Equivalence. NeurIPS Christopher Grimm, André Barreto, Gregory Farquhar, David Silver, Satinder Singh
2021	J	`jnl`	Proper Value Equivalence. CoRR Christopher Grimm, André Barreto, Gregory Farquhar, David Silver, Satinder Singh
2021	A*	`conf`	Risk-Aware Transfer in Reinforcement Learning using Successor Features. NeurIPS Michael Gimelfarb, André Barreto, Scott Sanner, Chi-Guhn Lee
2021	J	`jnl`	Risk-Aware Transfer in Reinforcement Learning using Successor Features. CoRR Michael Gimelfarb, André Barreto, Scott Sanner, Chi-Guhn Lee
2021	J	`jnl`	Temporal Abstraction in Reinforcement Learning with the Successor Representation. CoRR Marlos C. Machado, André Barreto, Doina Precup
2021	A*	`conf`	Temporally-Extended ε-Greedy Exploration. ICLR Will Dabney, Georg Ostrovski, André Barreto
2021	J	`jnl`	The Option Keyboard: Combining Skills in Reinforcement Learning. CoRR André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan J. Hunt, Shibl Mourad, David Silver, Doina Precup
2021	A*	`conf`	The Value-Improvement Path: Towards Better Representations for Reinforcement Learning. AAAI Will Dabney, André Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David Silver
2020	J	`jnl`	Expected Eligibility Traces. CoRR Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa
2020	A*	`conf`	Fast Task Inference with Variational Intrinsic Successor Features. ICLR Steven Hansen, Will Dabney, André Barreto, David Warde-Farley, Tom Van de Wiele, Volodymyr Mnih
2020	J	`jnl`	Fast reinforcement learning with generalized policy updates. Proc. Natl. Acad. Sci. USA André Barreto, Shaobo Hou, Diana Borsa, David Silver, Doina Precup
2020	A*	`conf`	On Efficiency in Hierarchical Reinforcement Learning. NeurIPS Zheng Wen, Doina Precup, Morteza Ibrahimi, André Barreto, Benjamin Van Roy, Satinder Singh
2020	J	`jnl`	Temporal Difference Uncertainties as a Signal for Exploration. CoRR Sebastian Flennerhag, Jane X. Wang, Pablo Sprechmann, Francesco Visin, Alexandre Galashov, Steven Kapturowski, Diana L. Borsa, Nicolas Heess, André Barreto, Razvan Pascanu
2020	J	`jnl`	Temporally-Extended ε-Greedy Exploration. CoRR Will Dabney, Georg Ostrovski, André Barreto
2020	A*	`conf`	The Value Equivalence Principle for Model-Based Reinforcement Learning. NeurIPS Christopher Grimm, André Barreto, Satinder Singh, David Silver
2020	J	`jnl`	The Value Equivalence Principle for Model-Based Reinforcement Learning. CoRR Christopher Grimm, André Barreto, Satinder Singh, David Silver
2020	J	`jnl`	The Value-Improvement Path: Towards Better Representations for Reinforcement Learning. CoRR Will Dabney, André Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David Silver
2019	A*	`conf`	Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates. NeurIPS Carlos Riquelme, Hugo Penedones, Damien Vincent, Hartmut Maennel, Sylvain Gelly, Timothy A. Mann, André Barreto, Gergely Neu
2019	J	`jnl`	Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates. CoRR Hugo Penedones, Carlos Riquelme, Damien Vincent, Hartmut Maennel, Timothy A. Mann, André Barreto, Sylvain Gelly, Gergely Neu
2019	A*	`conf`	Composing Entropic Policies using Divergence Correction. ICML Jonathan J. Hunt, André Barreto, Timothy P. Lillicrap, Nicolas Heess
2019	J	`jnl`	Disentangled Cumulants Help Successor Representations Transfer to New Tasks. CoRR Christopher Grimm, Irina Higgins, André Barreto, Denis Teplyashin, Markus Wulfmeier, Tim Hertweck, Raia Hadsell, Satinder Singh
2019	J	`jnl`	Fast Task Inference with Variational Intrinsic Successor Features. CoRR Steven Hansen, Will Dabney, André Barreto, Tom Van de Wiele, David Warde-Farley, Volodymyr Mnih
2019	J	`jnl`	General non-linear Bellman equations. CoRR Hado van Hasselt, John Quan, Matteo Hessel, Zhongwen Xu, Diana Borsa, André Barreto
2019	—	`conf`	Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition. BRACIS Matheus R. F. Mendonça, Artur Ziviani, André Barreto
2019	A*	`conf`	The Option Keyboard: Combining Skills in Reinforcement Learning. NeurIPS André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan J. Hunt, Shibl Mourad, David Silver, Doina Precup
2019	J	`jnl`	Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement. CoRR André Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel J. Mankowitz, Augustin Zídek, Rémi Munos
2019	—	`conf`	Universal Successor Features Approximators. ICLR (Poster) Diana Borsa, André Barreto, John Quan, Daniel J. Mankowitz, Hado van Hasselt, Rémi Munos, David Silver, Tom Schaul
2018	J	`jnl`	Entropic Policy Composition with Generalized Policy Improvement and Divergence Correction. CoRR Jonathan J. Hunt, André Barreto, Timothy P. Lillicrap, Nicolas Heess
2018	A*	`conf`	Fast deep reinforcement learning using online adjustments from the past. NeurIPS Steven Hansen, Alexander Pritzel, Pablo Sprechmann, André Barreto, Charles Blundell
2018	J	`jnl`	Fast deep reinforcement learning using online adjustments from the past. CoRR Steven Hansen, Pablo Sprechmann, Alexander Pritzel, André Barreto, Charles Blundell
2018	J	`jnl`	Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem. CoRR Hugo Penedones, Damien Vincent, Hartmut Maennel, Sylvain Gelly, Timothy A. Mann, André Barreto
2018	A*	`conf`	Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement. ICML André Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel J. Mankowitz, Augustin Zídek, Rémi Munos
2018	J	`jnl`	Unicorn: Continual Learning with a Universal, Off-policy Agent. CoRR Daniel J. Mankowitz, Augustin Zídek, André Barreto, Dan Horgan, Matteo Hessel, John Quan, Junhyuk Oh, Hado van Hasselt, David Silver, Tom Schaul
2018	J	`jnl`	Universal Successor Features Approximators. CoRR Diana Borsa, André Barreto, John Quan, Daniel J. Mankowitz, Rémi Munos, Hado van Hasselt, David Silver, Tom Schaul
2017	—	`conf`	Natural Value Approximators: Learning when to Trust Past Estimates. NIPS Zhongwen Xu, Joseph Modayil, Hado van Hasselt, André Barreto, David Silver, Tom Schaul
2017	—	`conf`	Successor Features for Transfer in Reinforcement Learning. NIPS André Barreto, Will Dabney, Rémi Munos, Jonathan J. Hunt, Tom Schaul, David Silver, Hado van Hasselt
2017	A*	`conf`	The Predictron: End-To-End Learning and Planning. ICML David Silver, Hado van Hasselt, Matteo Hessel, Tom Schaul, Arthur Guez, Tim Harley, Gabriel Dulac-Arnold, David P. Reichert, Neil C. Rabinowitz, André Barreto, Thomas Degris
2017	A	`conf`	Value-Aware Loss Function for Model-based Reinforcement Learning. AISTATS Amir Massoud Farahmand, André Barreto, Daniel Nikovski
2016	J	`jnl`	Successor Features for Transfer in Reinforcement Learning. CoRR André Barreto, Rémi Munos, Tom Schaul, David Silver
2016	J	`jnl`	The Predictron: End-To-End Learning and Planning. CoRR David Silver, Hado van Hasselt, Matteo Hessel, Tom Schaul, Arthur Guez, Tim Harley, Gabriel Dulac-Arnold, David P. Reichert, Neil C. Rabinowitz, André Barreto, Thomas Degris