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Wasserstein Distance Maximizing Intrinsic Control

Oct 28, 2021
Ishan Durugkar, Steven Hansen, Stephen Spencer, Volodymyr Mnih

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Learning more skills through optimistic exploration

Jul 29, 2021
DJ Strouse, Kate Baumli, David Warde-Farley, Vlad Mnih, Steven Hansen

* Steven Hansen and DJ Strouse contributed equally to this work 

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Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning

Feb 24, 2021
Víctor Campos, Pablo Sprechmann, Steven Hansen, Andre Barreto, Steven Kapturowski, Alex Vitvitskyi, Adrià Puigdomènech Badia, Charles Blundell

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Relative Variational Intrinsic Control

Dec 14, 2020
Kate Baumli, David Warde-Farley, Steven Hansen, Volodymyr Mnih

* Accepted by AAAI2021 

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Generalization of Reinforcement Learners with Working and Episodic Memory

Oct 29, 2019
Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z Leibo, Charles Blundell

* To be published in NeurIPS 2019. Equal contribution of first 4 authors 

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Fast Task Inference with Variational Intrinsic Successor Features

Jun 12, 2019
Steven Hansen, Will Dabney, Andre Barreto, Tom Van de Wiele, David Warde-Farley, Volodymyr Mnih

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Unsupervised Control Through Non-Parametric Discriminative Rewards

Nov 28, 2018
David Warde-Farley, Tom Van de Wiele, Tejas Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih

* 10 pages + references & 5 page appendix 

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Fast deep reinforcement learning using online adjustments from the past

Oct 18, 2018
Steven Hansen, Pablo Sprechmann, Alexander Pritzel, André Barreto, Charles Blundell

* Accepted at NIPS 2018 

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