Özgür Simsek

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 20

Top Topics

Reinforcement Learning

Behavioural Cloning

Sequential Decision Problems

Top Venues

Decis. Support Syst.

Publications

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 (2024)
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 (2024)
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 (2024)
Karolis Ramanauskas, Özgür Simsek
Colour versus Shape Goal Misgeneralization in Reinforcement Learning: A Case Study. CoRR (2023)
Joshua B. Evans, Özgür Simsek
Creating Multi-Level Skill Hierarchies in Reinforcement Learning. CoRR (2023)
Jack Saunders, Loïc Prenevost, Özgür Simsek, Alan Hunter, Wenbin Li
Resource-Constrained Station-Keeping for Helium Balloons using Reinforcement Learning. CoRR (2023)
Jack Saunders, Loïc Prenevost, Özgür Simsek, Alan Hunter, Wenbin Li
Resource-Constrained Station-Keeping for Latex Balloons Using Reinforcement Learning. IROS (2023)
Pablo Medina-Alias, Özgür Simsek
The Temporal Persistence of Generative Language Models in Sentiment Analysis. CLEF (Working Notes) (2023)
Daniel Beechey, Thomas M. S. Smith, Özgür Simsek
Explaining Reinforcement Learning with Shapley Values. ICML (2023)
Joshua B. Evans, Özgür Simsek
Creating Multi-Level Skill Hierarchies in Reinforcement Learning. NeurIPS (2023)
Daniel Beechey, Thomas M. S. Smith, Özgür Simsek
Explaining Reinforcement Learning with Shapley Values. CoRR (2023)
Dorota Glowacka, Andrew Howes, Jussi P. P. Jokinen, Antti Oulasvirta, Özgür Simsek
RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction. CHI Extended Abstracts (2021)
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 (2020)
Jan Malte Lichtenberg, Özgür Simsek
Regularization in directable environments with application to Tetris. ICML (2019)
Simón Algorta, Özgür Simsek
The Game of Tetris in Machine Learning. CoRR (2019)
Jan Malte Lichtenberg, Özgür Simsek
Iterative Policy-Space Expansion in Reinforcement Learning. CoRR (2019)
Özgür Simsek, Marcus Buckmann
On Learning Decision Heuristics. IDM@NIPS (2016)
Jan Malte Lichtenberg, Özgür Simsek
Simple Regression Models. IDM@NIPS (2016)
Marcus Buckmann, Özgür Simsek
Decision Heuristics for Comparison: How Good Are They? IDM@NIPS (2016)
Özgür Simsek, Simón Algorta, Amit Kothiyal
Why Most Decisions Are Easy in Tetris - And Perhaps in Other Sequential Decision Problems, As Well. ICML (2016)
Özgür Simsek, Marcus Buckmann
Learning From Small Samples: An Analysis of Simple Decision Heuristics. NIPS (2015)
Özgür Simsek
Linear decision rule as aspiration for simple decision heuristics. NIPS (2013)
Özgür Simsek
Workshop summary: Abstraction in reinforcement learning. ICML (2009)
Özgür Simsek, David D. Jensen
Navigating networks by using homophily and degree. Proc. Natl. Acad. Sci. USA 105 (35) (2008)
Özgür Simsek, Andrew G. Barto
Skill Characterization Based on Betweenness. NIPS (2008)
Özgür Simsek, Andrew G. Barto
An intrinsic reward mechanism for efficient exploration. ICML (2006)
Özgür Simsek, Alicia P. Wolfe, Andrew G. Barto
Identifying useful subgoals in reinforcement learning by local graph partitioning. ICML (2005)
Jennifer Neville, Özgür Simsek, David D. Jensen, John Komoroske, Kelly Palmer, Henry G. Goldberg
Using relational knowledge discovery to prevent securities fraud. KDD (2005)
Özgür Simsek, Andrew G. Barto
Learning Skills in Reinforcement Learning Using Relative Novelty. SARA (2005)
Özgür Simsek, David D. Jensen
Decentralized Search in Networks Using Homophily and Degree Disparity. IJCAI (2005)
Özgür Simsek
Towards Competence in Autonomous Agents. AAAI (2005)
Özgür Simsek, Andrew G. Barto
Using relative novelty to identify useful temporal abstractions in reinforcement learning. ICML (2004)