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ORCIDSteven Hansen 0001
Person information
- affiliation: DeepMind
- affiliation (former): Stanford University, CA, USA
Other persons with the same name
- Steven Hansen 0002 — Air Command and Staff College, Maxwell, AL, USA
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2020 – today
- 2023
[c13]Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan A. Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih:
In-context Reinforcement Learning with Algorithm Distillation. ICLR 2023- 2022
- [c12]DJ Strouse, Kate Baumli, David Warde-Farley, Volodymyr Mnih, Steven Stenberg Hansen:
Learning more skills through optimistic exploration. ICLR 2022 - [i13]Marcus Hutter, Steven Hansen:
Uniqueness and Complexity of Inverse MDP Models. CoRR abs/2206.01192 (2022) - [i12]Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Hansen, Angelos Filos, Ethan A. Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih:
In-context Reinforcement Learning with Algorithm Distillation. CoRR abs/2210.14215 (2022) - 2021
- [c11]Kate Baumli, David Warde-Farley, Steven Hansen, Volodymyr Mnih:
Relative Variational Intrinsic Control. AAAI 2021: 6732-6740 - [c10]Steven Hansen, Guillaume Desjardins, Kate Baumli, David Warde-Farley, Nicolas Heess, Simon Osindero, Volodymyr Mnih:
Entropic Desired Dynamics for Intrinsic Control. NeurIPS 2021: 11436-11448 - [i11]Víctor Campos, Pablo Sprechmann, Steven Hansen, André Barreto, Steven Kapturowski, Alex Vitvitskyi, Adrià Puigdomènech Badia, Charles Blundell:
Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning. CoRR abs/2102.13515 (2021) - [i10]DJ Strouse, Kate Baumli, David Warde-Farley, Vlad Mnih, Steven Hansen:
Learning more skills through optimistic exploration. CoRR abs/2107.14226 (2021) - [i9]Ishan Durugkar, Steven Hansen, Stephen Spencer, Volodymyr Mnih:
Wasserstein Distance Maximizing Intrinsic Control. CoRR abs/2110.15331 (2021) - 2020
- [c9]Steven Hansen, Will Dabney, André Barreto, David Warde-Farley, Tom Van de Wiele, Volodymyr Mnih:
Fast Task Inference with Variational Intrinsic Successor Features. ICLR 2020 - [i8]Kate Baumli, David Warde-Farley, Steven Hansen, Volodymyr Mnih:
Relative Variational Intrinsic Control. CoRR abs/2012.07827 (2020)
2010 – 2019
- 2019
- [c8]David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih:
Unsupervised Control Through Non-Parametric Discriminative Rewards. ICLR (Poster) 2019 - [c7]Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z. Leibo, Charles Blundell:
Generalization of Reinforcement Learners with Working and Episodic Memory. NeurIPS 2019: 12448-12457 - [i7]Steven Hansen, Will Dabney, André Barreto, Tom Van de Wiele, David Warde-Farley, Volodymyr Mnih:
Fast Task Inference with Variational Intrinsic Successor Features. CoRR abs/1906.05030 (2019) - [i6]Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z. Leibo, Charles Blundell:
Generalization of Reinforcement Learners with Working and Episodic Memory. CoRR abs/1910.13406 (2019) - 2018
- [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 - [i5]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) - [i4]David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih:
Unsupervised Control Through Non-Parametric Discriminative Rewards. CoRR abs/1811.11359 (2018) - 2017
- [c5]Milena Rabovsky, Steven Stenberg Hansen, James L. McClelland:
Neural responses decrease while performance increases with practice: A neural network model. CogSci 2017 - [i3]Steven Stenberg Hansen:
Long Timescale Credit Assignment in NeuralNetworks with External Memory. CoRR abs/1701.03866 (2017) - [i2]Steven Stenberg Hansen:
Minimally Naturalistic Artificial Intelligence. CoRR abs/1701.03868 (2017) - [i1]Steven Stenberg Hansen:
Deep Episodic Value Iteration for Model-based Meta-Reinforcement Learning. CoRR abs/1705.03562 (2017) - 2016
- [c4]James L. McClelland, Steven Stenberg Hansen, Andrew M. Saxe:
Tutorial Workshop on Contemporary Deep Neural Network Models. CogSci 2016 - [c3]Milena Rabovsky, Steven Stenberg Hansen, James L. McClelland:
N400 amplitudes reflect change in a probabilistic representation of meaning: Evidence from a connectionist model. CogSci 2016 - 2014
- [c2]Steven Stenberg Hansen, Cameron R. L. McKenzie, James L. McClelland:
Two Plus Three Is Five: Discovering Efficient Addition Strategies without Metacognition. CogSci 2014 - 2011
- [c1]Steven Stenberg Hansen, David S. Touretzky:
Human-Like Understanding of Two-Line Figures. FLAIRS 2011
Coauthor Index
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