Automatically selecting and using primary effects in planning: theory and experiments

作者:

摘要

The use of primary effects of operators is an effective approach to improving the efficiency of planning. The characterization of “good” primary effects, however, has remained at an informal level and there have been no algorithms for selecting primary effects of operators.

论文关键词:Planning,Machine learning,Primary effects,Partial-order planning,PAC learning

论文评审过程:Available online 19 May 1998.

论文官网地址:https://doi.org/10.1016/S0004-3702(96)00020-3