Publications (15)
Topological Model for Domain Walls in (Super-)Yang-Mills Theories
Markus Dierigl, Alexander Pritzel
Fast deep reinforcement learning using online adjustments from the past
Steven Hansen, Pablo Sprechmann, Alexander Pritzel +2
Memory-based Parameter Adaptation
Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae +7
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando, Dylan Banarse, Charles Blundell +5
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
Irina Higgins, Arka Pal, Andrei A. Rusu +6
Continuous control with deep reinforcement learning
Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel +5
Generative Temporal Models with Spatial Memory for Partially Observed Environments
Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols +3
Meta-Learning by the Baldwin Effect
Chrisantha Thomas Fernando, Jakub Sygnowski, Simon Osindero +6
Localization of gauge fields and Maxwell-Chern-Simons theory
Daniel Flassig, Alexander Pritzel
Neural Episodic Control
Alexander Pritzel, Benigno Uria, Sriram Srinivasan +5
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell
On ghosts in theories of self-interacting massive spin-2 particles
Sarah Folkerts, Alexander Pritzel, Nico Wintergerst
Model-Free Episodic Control
Charles Blundell, Benigno Uria, Alexander Pritzel +6
Large-N ground state of the Lieb-Liniger model and Yang-Mills theory on a two-sphere
Daniel Flassig, Andre Franca, Alexander Pritzel
Scrambling in the Black Hole Portrait
Gia Dvali, Daniel Flassig, Cesar Gomez +2