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ORCIDÖzgür Simsek
Person information
- unicode name: Özgür Şimşek
- affiliation: University of Bath, UK
- affiliation (former): University of Massachusetts, Amherst, MA, USA
- affiliation (former): Max Planck Institute for Human Development
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Journal Articles
- 2024
[j3]Jose Miguel Sanchez Bornot
, Roberto C. Sotero, J. A. Scott Kelso, Özgür Simsek, Damien Coyle:
Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models. NeuroImage 285: 120458 (2024)- 2020
- [j2]Ian N. Durbach, Simón Algorta, Dieudonné Kabongo Kantu, Konstantinos V. Katsikopoulos, Özgür Simsek:
Fast and frugal heuristics for portfolio decisions with positive project interactions. Decis. Support Syst. 138: 113399 (2020) - 2008
- [j1]Özgür Simsek, David D. Jensen:
Navigating networks by using homophily and degree. Proc. Natl. Acad. Sci. USA 105(35): 12758-12762 (2008)
Conference and Workshop Papers
- 2023
- [c21]Pablo Medina-Alias, Özgür Simsek:
The Temporal Persistence of Generative Language Models in Sentiment Analysis. CLEF (Working Notes) 2023: 2458-2468 - [c20]Daniel Beechey, Thomas M. S. Smith, Özgür Simsek:
Explaining Reinforcement Learning with Shapley Values. ICML 2023: 2003-2014 - [c19]Jack Saunders, Loïc Prenevost, Özgür Simsek, Alan Hunter, Wenbin Li:
Resource-Constrained Station-Keeping for Latex Balloons Using Reinforcement Learning. IROS 2023: 1102-1109 - [c18]Joshua B. Evans, Özgür Simsek:
Creating Multi-Level Skill Hierarchies in Reinforcement Learning. NeurIPS 2023 - 2021
- [c17]Dorota Glowacka, Andrew Howes, Jussi P. P. Jokinen, Antti Oulasvirta, Özgür Simsek:
RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction. CHI Extended Abstracts 2021: 99:1-99:3 - 2019
- [c16]Jan Malte Lichtenberg, Özgür Simsek:
Regularization in directable environments with application to Tetris. ICML 2019: 3953-3962 - 2016
- [c15]Özgür Simsek, Simón Algorta, Amit Kothiyal:
Why Most Decisions Are Easy in Tetris - And Perhaps in Other Sequential Decision Problems, As Well. ICML 2016: 1757-1765 - [c14]Marcus Buckmann, Özgür Simsek:
Decision Heuristics for Comparison: How Good Are They? IDM@NIPS 2016: 1-11 - [c13]Jan Malte Lichtenberg, Özgür Simsek:
Simple Regression Models. IDM@NIPS 2016: 13-25 - [c12]Özgür Simsek, Marcus Buckmann:
On Learning Decision Heuristics. IDM@NIPS 2016: 75-85 - 2015
- [c11]Özgür Simsek, Marcus Buckmann:
Learning From Small Samples: An Analysis of Simple Decision Heuristics. NIPS 2015: 3159-3167 - 2013
- [c10]Özgür Simsek:
Linear decision rule as aspiration for simple decision heuristics. NIPS 2013: 2904-2912 - 2009
- [c9]Özgür Simsek:
Workshop summary: Abstraction in reinforcement learning. ICML 2009: 10 - 2008
- [c8]Özgür Simsek, Andrew G. Barto:
Skill Characterization Based on Betweenness. NIPS 2008: 1497-1504 - 2006
- [c7]Özgür Simsek, Andrew G. Barto:
An intrinsic reward mechanism for efficient exploration. ICML 2006: 833-840 - 2005
- [c6]Özgür Simsek:
Towards Competence in Autonomous Agents. AAAI 2005: 1658-1659 - [c5]Özgür Simsek, Alicia P. Wolfe, Andrew G. Barto:
Identifying useful subgoals in reinforcement learning by local graph partitioning. ICML 2005: 816-823 - [c4]Özgür Simsek, David D. Jensen:
Decentralized Search in Networks Using Homophily and Degree Disparity. IJCAI 2005: 304-310 - [c3]Jennifer Neville, Özgür Simsek, David D. Jensen, John Komoroske, Kelly Palmer, Henry G. Goldberg:
Using relational knowledge discovery to prevent securities fraud. KDD 2005: 449-458 - [c2]Özgür Simsek, Andrew G. Barto:
Learning Skills in Reinforcement Learning Using Relative Novelty. SARA 2005: 367-374 - 2004
- [c1]Özgür Simsek, Andrew G. Barto:
Using relative novelty to identify useful temporal abstractions in reinforcement learning. ICML 2004
Informal and Other Publications
- 2024
- [i9]Jack Saunders, Sajad Saeedi, Adam Hartshorne, Binbin Xu, Özgür Simsek, Alan Hunter, Wenbin Li:
Identifying Optimal Launch Sites of High-Altitude Latex-Balloons using Bayesian Optimisation for the Task of Station-Keeping. CoRR abs/2403.10784 (2024) - [i8]Karolis Jucys, George Adamopoulos, Mehrab Hamidi, Stephanie Milani, Mohammad Reza Samsami, Artem Zholus, Sonia Joseph, Blake A. Richards, Irina Rish, Özgür Simsek:
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent. CoRR abs/2407.12161 (2024) - [i7]Panayiotis Panayiotou, Özgür Simsek:
Curricula for Learning Robust Policies with Factored State Representations in Changing Environments. CoRR abs/2409.09169 (2024) - 2023
- [i6]Jack Saunders, Loïc Prenevost, Özgür Simsek, Alan Hunter, Wenbin Li:
Resource-Constrained Station-Keeping for Helium Balloons using Reinforcement Learning. CoRR abs/2303.01173 (2023) - [i5]Daniel Beechey, Thomas M. S. Smith, Özgür Simsek:
Explaining Reinforcement Learning with Shapley Values. CoRR abs/2306.05810 (2023) - [i4]Joshua B. Evans, Özgür Simsek:
Creating Multi-Level Skill Hierarchies in Reinforcement Learning. CoRR abs/2306.09980 (2023) - [i3]Karolis Ramanauskas, Özgür Simsek:
Colour versus Shape Goal Misgeneralization in Reinforcement Learning: A Case Study. CoRR abs/2312.03762 (2023) - 2019
- [i2]Simón Algorta, Özgür Simsek:
The Game of Tetris in Machine Learning. CoRR abs/1905.01652 (2019) - [i1]Jan Malte Lichtenberg, Özgür Simsek:
Iterative Policy-Space Expansion in Reinforcement Learning. CoRR abs/1912.02532 (2019)
Coauthor Index
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