Pritzel, Alexander

10 publications

ICMLW 2022 MultiScale MeshGraphNets Meire Fortunato, Tobias Pfaff, Peter Wirnsberger, Alexander Pritzel, Peter Battaglia

ICLR 2020 Never Give up: Learning Directed Exploration Strategies Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andew Bolt, Charles Blundell

NeurIPS 2018 Fast Deep Reinforcement Learning Using Online Adjustments from the past Steven Hansen, Alexander Pritzel, Pablo Sprechmann, Andre Barreto, Charles Blundell

ICML 2018 Generative Temporal Models with Spatial Memory for Partially Observed Environments Marco Fraccaro, Danilo Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola

ICLR 2018 Memory-Based Parameter Adaptation Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adria Puigdomenech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell

ICML 2017 DARLA: Improving Zero-Shot Transfer in Reinforcement Learning Irina Higgins, Arka Pal, Andrei Rusu, Loic Matthey, Christopher Burgess, Alexander Pritzel, Matthew Botvinick, Charles Blundell, Alexander Lerchner

ICML 2017 Neural Episodic Control Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell

NeurIPS 2017 Simple and Scalable Predictive Uncertainty Estimation Using Deep Ensembles Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell

ICLR 2016 Continuous Control with Deep Reinforcement Learning Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, Daan Wierstra

NeurIPS 2016 Deep Exploration via Bootstrapped DQN Ian Osband, Charles Blundell, Alexander Pritzel, Benjamin Van Roy