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Dec, 2023
增强 Numeric-SAM 以用于少样本学习
Enhancing Numeric-SAM for Learning with Few Observations
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Argaman Mordoch, Shahaf S. Shperberg, Roni Stern, Berndan Juba
TL;DR
N-SAM*算法通过观察学习出所有行动至少在某些状态下可行,而不妨碍返回的行动模型的安全性,相较于N-SAM算法返回的行动模型,N-SAM*算法在解决问题方面取得显著的进展。
Abstract
A significant challenge in applying
planning technology
to real-world problems lies in obtaining a planning model that accurately represents the problem's dynamics.
numeric safe action models learning
(N-SAM) is
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