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Alexander Pritzel
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2020 – today
- 2022
- [j2]Peter Wirnsberger
, George Papamakarios
Normalizing flows for atomic solids. Mach. Learn. Sci. Technol. 3(2): 25009 (2022) - [i14]Meire Fortunato, Tobias Pfaff, Peter Wirnsberger, Alexander Pritzel, Peter W. Battaglia:
MultiScale MeshGraphNets. CoRR abs/2210.00612 (2022) - [i13]Rémi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Alexander Pritzel, Suman V. Ravuri, Timo Ewalds, Ferran Alet, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Jacklynn Stott, Oriol Vinyals, Shakir Mohamed, Peter W. Battaglia:
GraphCast: Learning skillful medium-range global weather forecasting. CoRR abs/2212.12794 (2022) - 2020
- [c11]Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell:
Never Give Up: Learning Directed Exploration Strategies. ICLR 2020 - [i12]Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell:
Never Give Up: Learning Directed Exploration Strategies. CoRR abs/2002.06038 (2020)
2010 – 2019
- 2019
- [i11]Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alexander Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin J. Miller, Mohammad Gheshlaghi Azar, Ian Osband, Neil C. Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew M. Botvinick, Shane Legg:
Meta-learning of Sequential Strategies. CoRR abs/1905.03030 (2019) - 2018
- [j1]Andrea Banino, Caswell Barry
Vector-based navigation using grid-like representations in artificial agents. Nat. 557(7705): 429-433 (2018) - [c10]Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu:
Meta-learning by the baldwin effect. GECCO (Companion) 2018: 109-110 - [c9]Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu:
Meta-learning by the Baldwin effect. GECCO (Companion) 2018: 1313-1320 - [c8]Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell:
Memory-based Parameter Adaptation. ICLR (Poster) 2018 - [c7]Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola:
Generative Temporal Models with Spatial Memory for Partially Observed Environments. ICML 2018: 1544-1553 - [c6]Steven Hansen, Alexander Pritzel, Pablo Sprechmann, André Barreto, Charles Blundell:
Fast deep reinforcement learning using online adjustments from the past. NeurIPS 2018: 10590-10600 - [i10]Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell:
Memory-based Parameter Adaptation. CoRR abs/1802.10542 (2018) - [i9]Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola:
Generative Temporal Models with Spatial Memory for Partially Observed Environments. CoRR abs/1804.09401 (2018) - [i8]Chrisantha Thomas Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu:
Meta-Learning by the Baldwin Effect. CoRR abs/1806.07917 (2018) - [i7]Steven Hansen, Pablo Sprechmann, Alexander Pritzel, André Barreto, Charles Blundell:
Fast deep reinforcement learning using online adjustments from the past. CoRR abs/1810.08163 (2018) - 2017
- [c5]Irina Higgins, Arka Pal, Andrei A. Rusu, Loïc Matthey, Christopher P. Burgess, Alexander Pritzel, Matthew M. Botvinick, Charles Blundell, Alexander Lerchner:
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning. ICML 2017: 1480-1490 - [c4]Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell:
Neural Episodic Control. ICML 2017: 2827-2836 - [c3]Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell:
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles. NIPS 2017: 6402-6413 - [i6]Chrisantha Fernando, Dylan Banarse, Charles Blundell, Yori Zwols, David Ha, Andrei A. Rusu, Alexander Pritzel, Daan Wierstra:
PathNet: Evolution Channels Gradient Descent in Super Neural Networks. CoRR abs/1701.08734 (2017) - [i5]Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell:
Neural Episodic Control. CoRR abs/1703.01988 (2017) - [i4]Irina Higgins, Arka Pal, Andrei A. Rusu, Loïc Matthey, Christopher P. Burgess, Alexander Pritzel, Matthew M. Botvinick, Charles Blundell, Alexander Lerchner:
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning. CoRR abs/1707.08475 (2017) - 2016
- [c2]Ian Osband, Charles Blundell, Alexander Pritzel, Benjamin Van Roy:
Deep Exploration via Bootstrapped DQN. NIPS 2016: 4026-4034 - [c1]Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, Daan Wierstra:
Continuous control with deep reinforcement learning. ICLR (Poster) 2016 - [i3]Ian Osband, Charles Blundell, Alexander Pritzel, Benjamin Van Roy:
Deep Exploration via Bootstrapped DQN. CoRR abs/1602.04621 (2016) - [i2]Charles Blundell, Benigno Uria, Alexander Pritzel, Yazhe Li, Avraham Ruderman, Joel Z. Leibo, Jack W. Rae, Daan Wierstra, Demis Hassabis:
Model-Free Episodic Control. CoRR abs/1606.04460 (2016) - [i1]Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell:
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles. CoRR abs/1612.01474 (2016)
Coauthor Index
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