Şimşek, Özgür

20 publications

ICLR 2025 Accelerating Task Generalisation with Multi-Level Skill Hierarchies Thomas P Cannon, Özgür Şimşek

NeurIPS 2025 Approximating Shapley Explanations in Reinforcement Learning Daniel Beechey, Özgür Şimşek

NeurIPS 2025 Novel Exploration via Orthogonality Andreas Theophilou, Özgür Şimşek

ICML 2025 Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption Audrey Poinsot, Panayiotis Panayiotou, Alessandro Leite, Nicolas Chesneau, Özgür Şimşek, Marc Schoenauer

NeurIPSW 2024 Enhanced Exploration via Variational Learned Priors Jessica Nicholson, Joseph S Goodier, Akshil Patel, Özgür Şimşek

NeurIPSW 2024 Hierarchical Orchestra of Policies Thomas P Cannon, Özgür Şimşek

ICMLW 2024 Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent Karolis Jucys, George Adamopoulos, Mehrab Hamidi, Stephanie Milani, Mohammad Reza Samsami, Artem Zholus, Sonia Joseph, Blake Aaron Richards, Irina Rish, Özgür Şimşek

NeurIPS 2023 Creating Multi-Level Skill Hierarchies in Reinforcement Learning Joshua B. Evans, Ozgur Simsek

ICML 2023 Explaining Reinforcement Learning with Shapley Values Daniel Beechey, Thomas M. S. Smith, Özgür Şimşek

ICML 2019 Regularization in Directable Environments with Application to Tetris Jan Malte Lichtenberg, Özgür Şimşek

ICML 2016 Why Most Decisions Are Easy in Tetris—And Perhaps in Other Sequential Decision Problems, as Well Özgür Şimşek, Simón Algorta, Amit Kothiyal

NeurIPS 2015 Learning from Small Samples: An Analysis of Simple Decision Heuristics Ozgur Simsek, Marcus Buckmann

NeurIPS 2013 Linear Decision Rule as Aspiration for Simple Decision Heuristics Ozgur Simsek

ICML 2009 Workshop Summary: Abstraction in Reinforcement Learning Özgür Simsek

NeurIPS 2008 Skill Characterization Based on Betweenness Ozgur Simsek, Andrew G. Barto

ICML 2006 An Intrinsic Reward Mechanism for Efficient Exploration Özgür Simsek, Andrew G. Barto

IJCAI 2005 Decentralized Search in Networks Using Homophily and Degree Disparity Özgür Simsek, David D. Jensen

ICML 2005 Identifying Useful Subgoals in Reinforcement Learning by Local Graph Partitioning Özgür Simsek, Alicia P. Wolfe, Andrew G. Barto

AAAI 2005 Towards Competence in Autonomous Agents Özgür Simsek

ICML 2004 Using Relative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning Özgür Simsek, Andrew G. Barto