MH
Matteo Hessel
cs.LGcs.AIstat.MLcs.NEAlgorithmsArtificial Intelligencecs.CRMachine LearningReinforcement, Psychology
On Valency
published · living versionsW_z8p2yx7z·v1 · currentpublished
Dueling Network Architectures for Deep Reinforcement Learning
with Ziyu Wang, Tom Schaul, Hado van Hasselt, Marc Lanctot +1
1 version
Preprints & journals
29 papers in the corpus · 2015–2025Discovering state-of-the-art reinforcement learning algorithms.41125136 · Oh, Junhyuk, Farquhar, Gregory, Kemaev, Iurii et al.2025 · 17 citationsNature. 2025;648(8093):312-319
DataRater: Meta-Learned Dataset Curation2505.17895v2 · Dan A. Calian, Gregory Farquhar, Iurii Kemaev et al.2025 · 1 citationarXiv
Self-Consistent Models and Values2110.12840v1 · Gregory Farquhar, Kate Baumli, Zita Marinho et al.2021 · 2 citationsarXiv
Emphatic Algorithms for Deep Reinforcement Learning2106.11779v1 · Ray Jiang, Tom Zahavy, Zhongwen Xu et al.2021 · 7 citationsProceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021
Muesli: Combining Improvements in Policy Optimization2104.06159v2 · Matteo Hessel, Ivo Danihelka, Fabio Viola et al.2021 · 18 citationsarXiv
Podracer architectures for scalable Reinforcement Learning2104.06272v1 · Matteo Hessel, Manuel Kroiss, Aidan Clark et al.2021 · 8 citationsarXiv
Discovery of Options via Meta-Learned Subgoals2102.06741v1 · Vivek Veeriah, Tom Zahavy, Matteo Hessel et al.2021 · 8 citationsarXiv
Discovering Reinforcement Learning Algorithms2007.08794v3 · Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki et al.2020 · 71 citationsarXiv
Meta-Gradient Reinforcement Learning with an Objective Discovered Online2007.08433v1 · Zhongwen Xu, Hado van Hasselt, Matteo Hessel et al.2020 · 41 citationsarXiv
Expected Eligibility Traces2007.01839v2 · Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel et al.2020 · 2 citationsarXiv
A Self-Tuning Actor-Critic Algorithm2002.12928v5 · Tom Zahavy, Zhongwen Xu, Vivek Veeriah et al.2020 · 46 citationsarXiv
What Can Learned Intrinsic Rewards Capture?1912.05500v3 · Zeyu Zheng, Junhyuk Oh, Matteo Hessel et al.2019 · 43 citationsarXiv
Off-Policy Actor-Critic with Shared Experience Replay1909.11583v2 · Simon Schmitt, Matteo Hessel, Karen Simonyan2019 · 12 citationsarXiv
Discovery of Useful Questions as Auxiliary Tasks1909.04607v1 · Vivek Veeriah, Matteo Hessel, Zhongwen Xu et al.2019 · 45 citationsarXiv
Behaviour Suite for Reinforcement Learning1908.03568v3 · Ian Osband, Yotam Doron, Matteo Hessel et al.2019 · 58 citationsarXiv
General non-linear Bellman equations1907.03687v1 · Hado van Hasselt, John Quan, Matteo Hessel et al.2019 · 9 citationsarXiv
On Inductive Biases in Deep Reinforcement Learning1907.02908v1 · Matteo Hessel, Hado van Hasselt, Joseph Modayil et al.2019 · 20 citationsarXiv
When to use parametric models in reinforcement learning?1906.05243v1 · Hado van Hasselt, Matteo Hessel, John Aslanides2019 · 99 citationsNeurIPS 2019
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement1901.10964v1 · Andr'e Barreto, Diana Borsa, John Quan et al.2019 · 79 citationsarXiv
Scaling shared model governance via model splitting1812.05979v1 · Miljan Martic, Jan Leike, Andrew Trask et al.2018 · 1 citationarXiv
Deep Reinforcement Learning and the Deadly Triad1812.02648v1 · Hado van Hasselt, Yotam Doron, Florian Strub et al.2018 · 101 citationsarXiv
Multi-task Deep Reinforcement Learning with PopArt1809.04474v1 · Matteo Hessel, Hubert Soyer, Lasse Espeholt et al.2018 · 233 citationsarXiv
Observe and Look Further: Achieving Consistent Performance on Atari1805.11593v1 · Tobias Pohlen, Bilal Piot, Todd Hester et al.2018 · 80 citationsarXiv
Distributed Prioritized Experience Replay1803.00933v1 · Dan Horgan, John Quan, David Budden et al.2018 · 555 citationsarXiv
Unicorn: Continual Learning with a Universal, Off-policy Agent1802.08294v2 · Daniel J. Mankowitz, Augustin Z'idek, Andr'e Barreto et al.2018 · 35 citationsarXiv
Rainbow: Combining Improvements in Deep Reinforcement Learning1710.02298v1 · Matteo Hessel, Joseph Modayil, Hado van Hasselt et al.2017 · 2,050 citationsarXiv
The Predictron: End-To-End Learning and Planning1612.08810v3 · David Silver, Hado van Hasselt, Matteo Hessel et al.2016 · 169 citationsarXiv
Learning values across many orders of magnitude1602.07714v2 · Hado van Hasselt, Arthur Guez, Matteo Hessel et al.2016 · 83 citationsarXiv
Dueling Network Architectures for Deep Reinforcement Learning1511.06581v3 · Ziyu Wang, Tom Schaul, Matteo Hessel et al.2015 · 3,300 citationsarXivon Valency
Career total: 40 works. 29 are in this corpus.
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