Özgür Simsek

According to our database, Özgür Simsek authored at least 29 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models.

Jose Miguel Sanchez Bornot, Roberto C. Sotero, J. A. Scott Kelso, Özgür Simsek, Damien Coyle

NeuroImage, January, 2024

Identifying Optimal Launch Sites of High-Altitude Latex-Balloons using Bayesian Optimisation for the Task of Station-Keeping.

Jack Saunders, Sajad Saeedi, Adam Hartshorne, Binbin Xu, Özgür Simsek, Alan Hunter, Wenbin Li

CoRR, 2024

2023

Colour versus Shape Goal Misgeneralization in Reinforcement Learning: A Case Study.

Karolis Ramanauskas, Özgür Simsek

CoRR, 2023

Resource-Constrained Station-Keeping for Helium Balloons using Reinforcement Learning.

Jack Saunders, Loïc Prenevost, Özgür Simsek, Alan Hunter, Wenbin Li

CoRR, 2023

Creating Multi-Level Skill Hierarchies in Reinforcement Learning.

Joshua B. Evans, Özgür Simsek

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Resource-Constrained Station-Keeping for Latex Balloons Using Reinforcement Learning.

Jack Saunders, Loïc Prenevost, Özgür Simsek, Alan Hunter, Wenbin Li

IROS, 2023

Explaining Reinforcement Learning with Shapley Values.

Daniel Beechey, Thomas M. S. Smith, Özgür Simsek

Proceedings of the International Conference on Machine Learning, 2023

The Temporal Persistence of Generative Language Models in Sentiment Analysis.

Pablo Medina-Alias, Özgür Simsek

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2021

RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction.

Dorota Glowacka, Andrew Howes, Jussi P. P. Jokinen, Antti Oulasvirta, Özgür Simsek

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Fast and frugal heuristics for portfolio decisions with positive project interactions.

Ian N. Durbach, Simón Algorta, Dieudonné Kabongo Kantu, Konstantinos V. Katsikopoulos, Özgür Simsek

Decis. Support Syst., 2020

2019

Iterative Policy-Space Expansion in Reinforcement Learning.

Jan Malte Lichtenberg, Özgür Simsek

CoRR, 2019

The Game of Tetris in Machine Learning.

Simón Algorta, Özgür Simsek

CoRR, 2019

Regularization in directable environments with application to Tetris.

Jan Malte Lichtenberg, Özgür Simsek

Proceedings of the 36th International Conference on Machine Learning, 2019

2016

On Learning Decision Heuristics.

Özgür Simsek, Marcus Buckmann

Proceedings of the NIPS 2016 Workshop on Imperfect Decision Makers: Admitting Real-World Rationality, 2016

Simple Regression Models.

Jan Malte Lichtenberg, Özgür Simsek

Proceedings of the NIPS 2016 Workshop on Imperfect Decision Makers: Admitting Real-World Rationality, 2016

Decision Heuristics for Comparison: How Good Are They?

Marcus Buckmann, Özgür Simsek

Proceedings of the NIPS 2016 Workshop on Imperfect Decision Makers: Admitting Real-World Rationality, 2016

Why Most Decisions Are Easy in Tetris - And Perhaps in Other Sequential Decision Problems, As Well.

Özgür Simsek, Simón Algorta, Amit Kothiyal

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Learning From Small Samples: An Analysis of Simple Decision Heuristics.

Özgür Simsek, Marcus Buckmann

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2013

Linear decision rule as aspiration for simple decision heuristics.

Özgür Simsek

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2009

Workshop summary: Abstraction in reinforcement learning.

Özgür Simsek

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Navigating networks by using homophily and degree.

Özgür Simsek, David D. Jensen

Proc. Natl. Acad. Sci. USA, 2008

Skill Characterization Based on Betweenness.

Özgür Simsek, Andrew G. Barto

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2006

An intrinsic reward mechanism for efficient exploration.

Özgür Simsek, Andrew G. Barto

Proceedings of the Machine Learning, 2006

2005

Learning Skills in Reinforcement Learning Using Relative Novelty.

Özgür Simsek, Andrew G. Barto

Proceedings of the Abstraction, 2005

Using relational knowledge discovery to prevent securities fraud.

Jennifer Neville, Özgür Simsek, David D. Jensen, John Komoroske, Kelly Palmer, Henry G. Goldberg

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Decentralized Search in Networks Using Homophily and Degree Disparity.

Özgür Simsek, David D. Jensen

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Identifying useful subgoals in reinforcement learning by local graph partitioning.

Özgür Simsek, Alicia P. Wolfe, Andrew G. Barto

Proceedings of the Machine Learning, 2005

Towards Competence in Autonomous Agents.

Özgür Simsek

Proceedings of the Proceedings, 2005

2004

Using relative novelty to identify useful temporal abstractions in reinforcement learning.

Özgür Simsek, Andrew G. Barto

Proceedings of the Machine Learning, 2004