Steven Hansen

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 16

Top Topics

Episodic Memory

Discriminative Classifiers

Reinforcement Learning

Top Venues

Publications

Marcus Hutter, Steven Hansen
Uniqueness and Complexity of Inverse MDP Models. CoRR (2022)
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 (2022)
DJ Strouse, Kate Baumli, David Warde-Farley, Vlad Mnih, Steven Hansen
Learning more skills through optimistic exploration. CoRR (2021)
Ishan Durugkar, Steven Hansen, Stephen Spencer, Volodymyr Mnih
Wasserstein Distance Maximizing Intrinsic Control. CoRR (2021)
Steven Hansen, Guillaume Desjardins, Kate Baumli, David Warde-Farley, Nicolas Heess, Simon Osindero, Volodymyr Mnih
Entropic Desired Dynamics for Intrinsic Control. NeurIPS (2021)
Kate Baumli, David Warde-Farley, Steven Hansen, Volodymyr Mnih
Relative Variational Intrinsic Control. AAAI (2021)
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 (2021)
Kate Baumli, David Warde-Farley, Steven Hansen, Volodymyr Mnih
Relative Variational Intrinsic Control. CoRR (2020)
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)
Steven Hansen, Will Dabney, André Barreto, Tom Van de Wiele, David Warde-Farley, Volodymyr Mnih
Fast Task Inference with Variational Intrinsic Successor Features. CoRR (2019)
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)
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)
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 (2019)
Steven Hansen, Alexander Pritzel, Pablo Sprechmann, André Barreto, Charles Blundell
Fast deep reinforcement learning using online adjustments from the past. NeurIPS (2018)
David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih
Unsupervised Control Through Non-Parametric Discriminative Rewards. CoRR (2018)
Steven Hansen, Pablo Sprechmann, Alexander Pritzel, André Barreto, Charles Blundell
Fast deep reinforcement learning using online adjustments from the past. CoRR (2018)
Steven Hansen, N. Hari Narayanan, Mary Hegarty
Designing Educationally Effective Algorithm Visualizations. J. Vis. Lang. Comput. 13 (3) (2002)