S. Hansen

发表

Fast deep reinforcement learning using online adjustments from the past

Charles Blundell, Alexander Pritzel, Pablo Sprechmann, 2018, NeurIPS.

Unsupervised Control Through Non-Parametric Discriminative Rewards pdf

David Warde-Farley, Volodymyr Mnih, Tejas D. Kulkarni, 2018, ICLR.

Two Plus Three Is Five: Discovering Efficient Addition Strategies without Metacognition

James L. McClelland, Steven Stenberg Hansen, Cameron R. L. McKenzie, 2014, CogSci.

I like coffee with cream and dog? Change in an implicit probabilistic representation captures meaning processing in the brain

James L. McClelland, Milena Rabovsky, Steven Stenberg Hansen, 2017, bioRxiv.

Entropic Desired Dynamics for Intrinsic Control

N. Heess, Volodymyr Mnih, Simon Osindero, 2021, NeurIPS.

Unsupervised Control Through Non-Parametric Discriminative Rewards

Tejas D. Kulkarni, Volodymyr Mnih, T. Wiele, 2018, ICLR.

Mathematical Cognition 1 A Parallel-Distributed Processing Approach to Mathematical Cognition1

James L. McClelland, Arianna Yuan, Kevin Mickey, 2016 .

Learning more skills through optimistic exploration

David Warde-Farley, S. Hansen, V. Mnih, 2021, ICLR.

In-context Reinforcement Learning with Algorithm Distillation

Junhyuk Oh, Satinder Singh, Ethan A. Brooks, 2022, ICLR.

Uniqueness and Complexity of Inverse MDP Models

Marcus Hutter, S. Hansen, 2022, ArXiv.

Relative Variational Intrinsic Control

David Warde-Farley, Volodymyr Mnih, Kate Baumli, 2020, AAAI.

N 400 amplitudes as change in a probabilistic representation of meaning : A neural network model

James L. McClelland, Milena Rabovsky, Steven Stenberg Hansen, 2017 .

Modelling the N400 brain potential as change in a probabilistic representation of meaning

James L. McClelland, Milena Rabovsky, Steven S. Hansen, 2018, Nature Human Behaviour.

Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning

Charles Blundell, Pablo Sprechmann, Adrià Puigdomènech Badia, 2021, 2102.13515.

Generalization of Reinforcement Learners with Working and Episodic Memory

Joel Z. Leibo, Meire Fortunato, Charles Blundell, 2019, NeurIPS.

Fast Task Inference with Variational Intrinsic Successor Features pdf

David Warde-Farley, Volodymyr Mnih, André Barreto, 2019, ICLR.

Deep Episodic Value Iteration for Model-based Meta-Reinforcement Learning pdf

Steven Stenberg Hansen, S. Hansen, 2017, ArXiv.

Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning pdf

Charles Blundell, Pablo Sprechmann, Adrià Puigdomènech Badia, 2021, ArXiv.

Neural responses decrease while performance increases with practice: A neural network model

James L. McClelland, Milena Rabovsky, Steven Stenberg Hansen, 2017, CogSci.

N400 amplitudes reflect change in a probabilistic representation of meaning: Evidence from a connectionist model

James L. McClelland, Milena Rabovsky, Steven Stenberg Hansen, 2016, CogSci.

Wasserstein Distance Maximizing Intrinsic Control pdf

Ishan Durugkar, Volodymyr Mnih, Steven Hansen, 2021, ArXiv.

Modelling the N400 brain potential as change in a probabilistic representation of meaning

James L. McClelland, S. Hansen, Milena Rabovsky, 2018, Nature Human Behaviour.

Long Timescale Credit Assignment in NeuralNetworks with External Memory pdf

Steven Stenberg Hansen, S. Hansen, 2017, ArXiv.

Tutorial Workshop on Contemporary Deep Neural Network Models

James L. McClelland, Andrew M. Saxe, Steven Stenberg Hansen, 2016, CogSci.