Detail Transfer Learning via Advice Taking Bibliografi Author: Torrey, Lisa ; Shavlik, Jude ; Walker, Trevor ; Maclin, Richard Bahasa: (EN )     Penerbit: Springer-Verlag Berlin Heidelberg     Tempat Terbit: Heidelberg    Tahun Terbit: 2010     Jenis: Article Fulltext: Transfer Learning via Advice Taking.pdf (316.14KB; 1 download) Abstract The goal of transfer learning is to speed up learning in a new task by transferring knowledge from one or more related source tasks. We describe a transfer method in which a reinforcement learner analyzes its experience in the source task and learns rules to use as advice in the target task. The rules, which are learned via inductive logic programming, describe the conditions under which an action is successful in the source task. The advice-taking algorithm used in the target task allows a reinforcement learner to benefit from rules even if they are imperfect. A human-provided mapping describes the alignment between the source and target tasks, and may also include advice about the differences between them. Using three tasks in the RoboCup simulated soccer domain, we demonstrate that this transfer method can speed up reinforcement learning substantially. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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