Hado van Hasselt

5 papers at tracked venues · 5 at CORE A* · active 2024–2025

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Venues

ICML ×2 NeurIPS ×2 AAAI ×1

Frequent coauthors

Dan A. Calian

×2

Gregory Farquhar

×2

Iurii Kemaev

×2

Luisa M. Zintgraf

×2

Matteo Hessel

×1

Jeremy Shar

×1

Junhyuk Oh

×1

András György

×1

Tom Schaul

×1

Jeff Dean

×1

David Silver

×1

Simon Schmitt

×1

Papers

DataRater: Meta-Learned Dataset Curation
NeurIPS 2025 ·
Dan Andrei Calian
,
Gregory Farquhar
,
Iurii Kemaev
,
Luisa M. Zintgraf
,
Matteo Hessel
,
Jeremy Shar
,
Junhyuk Oh
,
András György
,
Tom Schaul
,
Jeff Dean
, Hado Philip van Hasselt,
David Silver
General Uncertainty Estimation with Delta Variances
AAAI 2025 ·
Simon Schmitt
,
John Shawe-Taylor
, Hado van Hasselt
Scalable Meta-Learning via Mixed-Mode Differentiation
ICML 2025 ·
Iurii Kemaev
,
Dan A. Calian
,
Luisa M. Zintgraf
,
Gregory Farquhar
, Hado van Hasselt
Wasserstein Policy Optimization
ICML 2025 ·
David Pfau
,
Ian Davies
,
Diana L. Borsa
,
João Guilherme Madeira Araújo
,
Brendan D. Tracey
, Hado van Hasselt
Normalization and effective learning rates in reinforcement learning
NeurIPS 2024 ·
Clare Lyle
,
Zeyu Zheng
,
Khimya Khetarpal
,
James Martens
, Hado Philip van Hasselt,
Razvan Pascanu
,
Will Dabney