Steven Hansen - RankMe

18 papers A* 5Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Agency Is Frame-Dependent. CoRR David Abel, André Barreto, Michael Bowling, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh
2025	J	`jnl`	Plasticity as the Mirror of Empowerment. CoRR David Abel, Michael Bowling, André Barreto, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh
2022	J	`jnl`	In-context Reinforcement Learning with Algorithm Distillation. CoRR Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
2022	J	`jnl`	Uniqueness and Complexity of Inverse MDP Models. CoRR Marcus Hutter, Steven Hansen
2021	J	`jnl`	Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning. CoRR Víctor Campos, Pablo Sprechmann, Steven Hansen, André Barreto, Steven Kapturowski, Alex Vitvitskyi, Adrià Puigdomènech Badia, Charles Blundell
2021	A*	`conf`	Entropic Desired Dynamics for Intrinsic Control. NeurIPS Steven Hansen, Guillaume Desjardins, Kate Baumli, David Warde-Farley, Nicolas Heess, Simon Osindero, Volodymyr Mnih
2021	J	`jnl`	Learning more skills through optimistic exploration. CoRR DJ Strouse, Kate Baumli, David Warde-Farley, Vlad Mnih, Steven Hansen
2021	A*	`conf`	Relative Variational Intrinsic Control. AAAI Kate Baumli, David Warde-Farley, Steven Hansen, Volodymyr Mnih
2021	J	`jnl`	Wasserstein Distance Maximizing Intrinsic Control. CoRR Ishan Durugkar, Steven Hansen, Stephen Spencer, Volodymyr Mnih
2020	A*	`conf`	Fast Task Inference with Variational Intrinsic Successor Features. ICLR Steven Hansen, Will Dabney, André Barreto, David Warde-Farley, Tom Van de Wiele, Volodymyr Mnih
2020	J	`jnl`	Relative Variational Intrinsic Control. CoRR Kate Baumli, David Warde-Farley, Steven Hansen, Volodymyr Mnih
2019	J	`jnl`	Fast Task Inference with Variational Intrinsic Successor Features. CoRR Steven Hansen, Will Dabney, André Barreto, Tom Van de Wiele, David Warde-Farley, Volodymyr Mnih
2019	A*	`conf`	Generalization of Reinforcement Learners with Working and Episodic Memory. NeurIPS Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z. Leibo, Charles Blundell
2019	J	`jnl`	Generalization of Reinforcement Learners with Working and Episodic Memory. CoRR Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z. Leibo, Charles Blundell
2019	—	`conf`	Unsupervised Control Through Non-Parametric Discriminative Rewards. ICLR (Poster) David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih
2018	A*	`conf`	Fast deep reinforcement learning using online adjustments from the past. NeurIPS Steven Hansen, Alexander Pritzel, Pablo Sprechmann, André Barreto, Charles Blundell
2018	J	`jnl`	Fast deep reinforcement learning using online adjustments from the past. CoRR Steven Hansen, Pablo Sprechmann, Alexander Pritzel, André Barreto, Charles Blundell
2018	J	`jnl`	Unsupervised Control Through Non-Parametric Discriminative Rewards. CoRR David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih