Andr Barreto
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
5
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | A Distributional Analogue to the Successor Representation. | Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Yunhao Tang, Andr Barreto, Will Dabney, Marc G. Bellemare, Mark Rowland |
| 2024 | ICML | Position: Video as the New Language for Real-World Decision Making. | Sherry Yang, Jacob C. Walker, Jack Parker-Holder, Yilun Du, Jake Bruce, Andr Barreto, Pieter Abbeel, Dale Schuurmans |
| 2022 | ICML | Model-Value Inconsistency as a Signal for Epistemic Uncertainty. | Angelos Filos, Eszter Vrtes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, Andr Barreto, Simon Osindero |
| 2022 | ICML | Generalised Policy Improvement with Geometric Policy Composition. | Shantanu Thakoor, Mark Rowland, Diana Borsa, Will Dabney, Rmi Munos, Andr Barreto |
| 2021 | AAAI | The Value-Improvement Path: Towards Better Representations for Reinforcement Learning. | Will Dabney, Andr Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David Silver |
| 2021 | AAAI | Expected Eligibility Traces. | Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, Andr Barreto, Diana Borsa |
| 2021 | ICLR | Temporally-Extended ε-Greedy Exploration. | Will Dabney, Georg Ostrovski, Andr Barreto |
| 2021 | ICLR | Discovering a set of policies for the worst case reward. | Tom Zahavy, Andr Barreto, Daniel J. Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev, Satinder Singh |
| 2020 | GLOBECOM | System Analysis of State-Aware Resource Allocation for Closed-Loop Control Systems. | Lucas Scheuvens, Philipp Schulz, Tom Hler, Norman Franchi, Andr Barreto, Gerhard P. Fettweis |
| 2020 | GLOBECOM | State-Aware Resource Allocation for Wireless Closed-Loop Control Based on Multi-Connectivity. | Lucas Scheuvens, Philipp Schulz, Tom Hler, Norman Franchi, Andr Barreto, Gerhard P. Fettweis |
| 2020 | ICLR | Fast Task Inference with Variational Intrinsic Successor Features. | Steven Hansen, Will Dabney, Andr Barreto, David Warde-Farley, Tom Van de Wiele, Volodymyr Mnih |
| 2019 | ICLR | Universal Successor Features Approximators. | Diana Borsa, Andr Barreto, John Quan, Daniel J. Mankowitz, Hado van Hasselt, Rmi Munos, David Silver, Tom Schaul |
| 2019 | ICML | Composing Entropic Policies using Divergence Correction. | Jonathan J. Hunt, Andr Barreto, Timothy P. Lillicrap, Nicolas Heess |
| 2018 | ICML | Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement. | Andr Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel J. Mankowitz, Augustin Zdek, Rmi Munos |
| 2017 | AISTATS | Value-Aware Loss Function for Model-based Reinforcement Learning. | Amir Massoud Farahmand, Andr Barreto, Daniel Nikovski |
| 2017 | ICML | The Predictron: End-To-End Learning and Planning. | David Silver, Hado van Hasselt, Matteo Hessel, Tom Schaul, Arthur Guez, Tim Harley, Gabriel Dulac-Arnold, David P. Reichert, Neil C. Rabinowitz, Andr Barreto, Thomas Degris |