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GENERATING EFFECTIVE INITIATION SETS FOR SUBGOAL-DRIVEN OPTIONS
Date
2019-03-01
Author
DEMİR, ALPER
Cilden, Erkin
Polat, Faruk
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Options framework is one of the prominent models serving as a basis to improve learning speed by means of temporal abstractions. An option is mainly composed of three elements: initiation set, option's local policy and termination condition. Although various attempts exist that focus on how to derive high-quality termination conditions for a given problem, the impact of initiation set generation is relatively unexplored. In this work, we propose an effective goal-oriented heuristic method to derive useful initiation set elements via an analysis of the recent history of events. Effectiveness of the method is experimented on various benchmark problems, and the results are discussed.
Subject Keywords
Control and Systems Engineering
URI
https://hdl.handle.net/11511/43531
Journal
ADVANCES IN COMPLEX SYSTEMS
DOI
https://doi.org/10.1142/s0219525919500012
Collections
Department of Computer Engineering, Article
Citation Formats
IEEE
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BibTeX
A. DEMİR, E. Cilden, and F. Polat, “GENERATING EFFECTIVE INITIATION SETS FOR SUBGOAL-DRIVEN OPTIONS,”
ADVANCES IN COMPLEX SYSTEMS
, vol. 22, no. 2, pp. 0–0, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/43531.