Steven Hansen

Affiliations:
  • DeepMind
  • Stanford University, CA, USA (former)


According to our database1, Steven Hansen authored at least 19 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
In-context Reinforcement Learning with Algorithm Distillation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Uniqueness and Complexity of Inverse MDP Models.
CoRR, 2022

Learning more skills through optimistic exploration.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Wasserstein Distance Maximizing Intrinsic Control.
CoRR, 2021

Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning.
CoRR, 2021

Entropic Desired Dynamics for Intrinsic Control.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Relative Variational Intrinsic Control.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Fast Task Inference with Variational Intrinsic Successor Features.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Generalization of Reinforcement Learners with Working and Episodic Memory.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unsupervised Control Through Non-Parametric Discriminative Rewards.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Fast deep reinforcement learning using online adjustments from the past.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Deep Episodic Value Iteration for Model-based Meta-Reinforcement Learning.
CoRR, 2017

Minimally Naturalistic Artificial Intelligence.
CoRR, 2017

Long Timescale Credit Assignment in NeuralNetworks with External Memory.
CoRR, 2017

Neural responses decrease while performance increases with practice: A neural network model.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
N400 amplitudes reflect change in a probabilistic representation of meaning: Evidence from a connectionist model.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Tutorial Workshop on Contemporary Deep Neural Network Models.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2014
Two Plus Three Is Five: Discovering Efficient Addition Strategies without Metacognition.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2011
Human-Like Understanding of Two-Line Figures.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011


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