Kaelbling, Leslie PZeng, Catherine Yingxuan2022-05-2620222022-05-232022Zeng, Catherine Yingxuan. 2022. Machine Learning for Automated Planning. Bachelor's thesis, Harvard College.29061385https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37371729Automated 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.application/pdfenArtificial intelligenceThesis or Dissertation2022-05-26