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\n  \n 2023\n \n \n (1)\n \n \n
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\n \n\n \n \n Demir, A.\n\n\n \n \n \n \n Learning what to memorize: Using intrinsic motivation to form useful memory in partially observable reinforcement learning.\n \n \n \n\n\n \n\n\n\n Applied Intelligence,1–19. 2023.\n \n\n\n\n
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@article{demir2023learning,\n    keywords = {pub},\n    title={Learning what to memorize: Using intrinsic motivation to form useful memory in partially observable reinforcement learning},\n    author={Demir, Alper},\n    journal={Applied Intelligence},\n    pages={1--19},\n    year={2023},\n    publisher={Springer}\n}\n\n% To be published: tbp\n\n% Submitted\n
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\n  \n 2022\n \n \n (2)\n \n \n
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\n \n\n \n \n Demir, A., Çilden, E., & Polat, F.\n\n\n \n \n \n \n Landmark based guidance for reinforcement learning agents under partial observability.\n \n \n \n\n\n \n\n\n\n International Journal of Machine Learning and Cybernetics,1–21. 2022.\n \n\n\n\n
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@article{demir2022landmark,\n    keywords = {pub},\n    title={Landmark based guidance for reinforcement learning agents under partial observability},\n    author={Demir, Alper and {\\c{C}}ilden, Erkin and Polat, Faruk},\n    journal={International Journal of Machine Learning and Cybernetics},\n    pages={1--21},\n    year={2022},\n    publisher={Springer}\n}\n\n
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\n \n\n \n \n Dilek, İ., Oğuz, K., & Demir, A.\n\n\n \n \n \n \n Behaviour Analysis of Izmir Residents Using Public Wi-Fi Access Point Usage.\n \n \n \n\n\n \n\n\n\n In 2022 3rd International Informatics and Software Engineering Conference (IISEC), pages 1–6, 2022. IEEE\n \n\n\n\n
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@inproceedings{dilek2022behaviour,\n    keywords = {pub},\n    title={Behaviour Analysis of Izmir Residents Using Public Wi-Fi Access Point Usage},\n    author={Dilek, {\\.I}layda and O{\\u{g}}uz, Kaya and Demir, Alper},\n    booktitle={2022 3rd International Informatics and Software Engineering Conference (IISEC)},\n    pages={1--6},\n    year={2022},\n    organization={IEEE}\n}\n\n
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\n  \n 2019\n \n \n (4)\n \n \n
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\n \n\n \n \n Demir, A., Çilden, E., & Polat, F.\n\n\n \n \n \n \n Generating Effective Initiation Sets for Subgoal-Driven Options.\n \n \n \n\n\n \n\n\n\n Advances in Complex Systems, 22(2). 2019.\n \n\n\n\n
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@article{demir2019generating,\n    keywords = {pub},\n    title={Generating Effective Initiation Sets for Subgoal-Driven Options},\n    author={Demir, Alper and {\\c{C}}ilden, Erkin and Polat, Faruk},\n    journal={Advances in Complex Systems},\n    volume={22},\n    number= {2},\n    year={2019},\n    doi={10.1142/S0219525919500012},\n    publisher={World Scientific}\n}\n\n
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\n \n\n \n \n Demir, A., Çilden, E., & Polat, F.\n\n\n \n \n \n \n \n Landmark Based Reward Shaping in Rein-forcement Learning with Hidden States.\n \n \n \n \n\n\n \n\n\n\n In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, of AAMAS '19, pages 1922–1924, 2019. Int. Foundation for Autonomous Agents and Multiagent Systems\n \n\n\n\n
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@inproceedings{demir2019landmark,\n    keywords = {pub},\n    title = {Landmark Based Reward Shaping in Rein-forcement Learning with Hidden States},\n    author = {Demir, Alper and \\c{C}ilden, Erkin and Polat, Faruk},\n    booktitle = {Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems},\n    series = {AAMAS '19},\n    year = {2019},\n    isbn = {978-1-4503-6309-9},\n    %location = {Montreal QC, Canada},\n    pages = {1922--1924},\n    numpages = {3},\n    url = {http://dl.acm.org/citation.cfm?id=3306127.3331964},\n    acmid = {3331964},\n    publisher = {Int. Foundation for Autonomous Agents and Multiagent Systems},\n}\n\n
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\n \n\n \n \n Demir, A., Çilden, E., & Polat, F.\n\n\n \n \n \n \n Automatic landmark discovery for learning agents under partial observability.\n \n \n \n\n\n \n\n\n\n The Knowledge Engineering Review, 34. 2019.\n \n\n\n\n
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@article{demir2019automatic,\n    keywords = {pub},\n    title={Automatic landmark discovery for learning agents under partial observability},\n    author={Demir, Alper and {\\c{C}}ilden, Erkin and Polat, Faruk},\n    journal={The Knowledge Engineering Review},\n    volume={34},\n    year={2019},\n    doi={10.1017/S026988891900002X},\n    publisher={Cambridge University Press}\n}\n\n
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\n \n\n \n \n Demir, A., Çilden, E., & Polat, F.\n\n\n \n \n \n \n Dynamic Reward Shaping through Landmarks for Reinforcement Learning with Hidden States.\n \n \n \n\n\n \n\n\n\n In 2019. \n \n\n\n\n
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@inproceedings{demir2019dynamic,\n    keywords = {sub},\n    title={Dynamic Reward Shaping through Landmarks for Reinforcement Learning with Hidden States},\n    author={Demir, Alper and {\\c{C}}ilden, Erkin and Polat, Faruk},\n    year={2019}\n}\n\n
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\n  \n 2017\n \n \n (1)\n \n \n
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\n \n\n \n \n Demir, A., Çilden, E., & Polat, F.\n\n\n \n \n \n \n A Concept Filtering Approach for Diverse Density to Discover Subgoals in Reinforcement Learning.\n \n \n \n\n\n \n\n\n\n In 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), pages 1–5, 2017. IEEE\n \n\n\n\n
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@inproceedings{demir2017concept,\n    keywords = {pub},\n    title={A Concept Filtering Approach for Diverse Density to Discover Subgoals in Reinforcement Learning},\n    author={Demir, Alper and {\\c{C}}ilden, Erkin and Polat, Faruk},\n    booktitle={2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI)},\n    doi={10.1109/ICTAI.2017.00012},\n    pages={1--5},\n    year={2017},\n    organization={IEEE}\n}\n\n
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\n  \n 2016\n \n \n (2)\n \n \n
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\n \n\n \n \n Demir, A., Çilden, E., & Polat, F.\n\n\n \n \n \n \n A history tree heuristic to generate better initiation sets for options in reinforcement learning.\n \n \n \n\n\n \n\n\n\n In Proceedings of the Twenty-second European Conference on Artificial Intelligence (ECAI), pages 1644–1645, 2016. IOS Press\n \n\n\n\n
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@inproceedings{demir2016history,\n    keywords = {pub},\n    title={A history tree heuristic to generate better initiation sets for options in reinforcement learning},\n    author={Demir, Alper and {\\c{C}}ilden, Erkin and Polat, Faruk},\n    booktitle={Proceedings of the Twenty-second European Conference on Artificial Intelligence (ECAI)},\n    pages={1644--1645},\n    year={2016},\n    doi={10.3233/978-1-61499-672-9-1644},\n    organization={IOS Press}\n}\n\n
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\n \n\n \n \n Demir, A., Çilden, E., & Polat, F.\n\n\n \n \n \n \n Local roots: A tree-based subgoal discovery method to accelerate reinforcement learning.\n \n \n \n\n\n \n\n\n\n In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), pages 361–376, 2016. Springer\n \n\n\n\n
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@inproceedings{demir2016local,\n    keywords = {pub},\n    title={Local roots: A tree-based subgoal discovery method to accelerate reinforcement learning},\n    author={Demir, Alper and {\\c{C}}ilden, Erkin and Polat, Faruk},\n    booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD)},\n    pages={361--376},\n    year={2016},\n    doi={10.1007/978-3-319-46227-1_23},\n    organization={Springer}\n}\n\n
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