Hado van Hasselt
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
6
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | General Uncertainty Estimation with Delta Variances. | Simon Schmitt, John Shawe-Taylor, Hado van Hasselt |
| 2025 | ICML | Scalable Meta-Learning via Mixed-Mode Differentiation. | Iurii Kemaev, Dan A. Calian, Luisa M. Zintgraf, Gregory Farquhar, Hado van Hasselt |
| 2025 | ICML | Wasserstein Policy Optimization. | David Pfau, Ian Davies, Diana L. Borsa, Joo Guilherme Madeira Arajo, Brendan D. Tracey, Hado van Hasselt |
| 2023 | AAAI | Exploration via Epistemic Value Estimation. | Simon Schmitt, John Shawe-Taylor, Hado van Hasselt |
| 2023 | ICLR | Human-level Atari 200x faster. | Steven Kapturowski, Victor Campos, Ray Jiang, Nemanja Rakicevic, Hado van Hasselt, Charles Blundell, Adri Puigdomnech Badia |
| 2022 | AAAI | Learning Expected Emphatic Traces for Deep RL. | Ray Jiang, Shangtong Zhang, Veronica Chelu, Adam White, Hado van Hasselt |
| 2022 | AAAI | Introducing Symmetries to Black Box Meta Reinforcement Learning. | Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen |
| 2022 | AAAI | Chaining Value Functions for Off-Policy Learning. | Simon Schmitt, John Shawe-Taylor, Hado van Hasselt |
| 2022 | ICLR | Bootstrapped Meta-Learning. | Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, Satinder Singh |
| 2022 | ICLR | Learning by Directional Gradient Descent. | David Silver, Anirudh Goyal, Ivo Danihelka, Matteo Hessel, Hado van Hasselt |
| 2021 | AAAI | Expected Eligibility Traces. | Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, Andr Barreto, Diana Borsa |
| 2021 | ICML | Muesli: Combining Improvements in Policy Optimization. | Matteo Hessel, Ivo Danihelka, Fabio Viola, Arthur Guez, Simon Schmitt, Laurent Sifre, Theophane Weber, David Silver, Hado van Hasselt |
| 2021 | ICML | Emphatic Algorithms for Deep Reinforcement Learning. | Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt |
| 2020 | AISTATS | Conditional Importance Sampling for Off-Policy Learning. | Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rmi Munos, Will Dabney |
| 2020 | ICLR | Behaviour Suite for Reinforcement Learning. | Ian Osband, Yotam Doron, Matteo Hessel, John Aslanides, Eren Sezener, Andre Saraiva, Katrina McKinney, Tor Lattimore, Csaba Szepesvri, Satinder Singh, Benjamin Van Roy, Richard S. Sutton, David Silver, Hado van Hasselt |
| 2020 | ICML | What Can Learned Intrinsic Rewards Capture? | Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh |
| 2019 | AAAI | Multi-Task Deep Reinforcement Learning with PopArt. | Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt |
| 2019 | ICLR | Universal Successor Features Approximators. | Diana Borsa, Andr Barreto, John Quan, Daniel J. Mankowitz, Hado van Hasselt, Rmi Munos, David Silver, Tom Schaul |
| 2018 | AAAI | Rainbow: Combining Improvements in Deep Reinforcement Learning. | Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Gheshlaghi Azar, David Silver |
| 2018 | ICLR | Distributed Prioritized Experience Replay. | Dan Horgan, John Quan, David Budden, Gabriel Barth-Maron, Matteo Hessel, Hado van Hasselt, David Silver |
| 2018 | ICML | Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems. | Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Now, Hado van Hasselt |
| 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 |
| 2016 | AAAI | Deep Reinforcement Learning with Double Q-Learning. | Hado van Hasselt, Arthur Guez, David Silver |
| 2016 | ICML | Dueling Network Architectures for Deep Reinforcement Learning. | Ziyu Wang, Tom Schaul, Matteo Hessel, Hado van Hasselt, Marc Lanctot, Nando de Freitas |
| 2014 | ICML | A new Q(lambda) with interim forward view and Monte Carlo equivalence. | Richard S. Sutton, Ashique Rupam Mahmood, Doina Precup, Hado van Hasselt |
| 2014 | UAI | Off-policy TD( l) with a true online equivalence. | Hado van Hasselt, Ashique Rupam Mahmood, Richard S. Sutton |
| 2009 | IJCNN | Using continuous action spaces to solve discrete problems. | Hado van Hasselt, Marco A. Wiering |