Machine Learning for Automated Planning
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Zeng, Catherine Yingxuan
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Zeng, Catherine Yingxuan. 2022. Machine Learning for Automated Planning. Bachelor's thesis, Harvard College.Abstract
Automated planning is a long-standing problem which concerns finding an action sequence to solve a task. In this thesis, we explore two problems in leveraging machine learning for automated planning: (1) learning from failed planning attempts to improve efficiency of future planning, and (2) adding goal-conditioning to action samplers in a neuro-symbolic planning framework. In both problems, we utilize neural networks to learn mappings that empirically enhance the performance of existing planning frameworks.Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAACitable link to this page
https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37371729
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