]> 2026-04-04T21:48:16+02:00 Publications:Learning to evaluate conditional partial plans 500 en <p>We study agents situated in partially observable environments, who do not have sufficient resources to create conformant plans. Instead, they generate plans which are conditional and partial, execute or simulate them, and learn to evaluate their quality from experience. Our agent employs an incomplete symbolic deduction system based on Active Logic and Situation Calculus for reasoning about actions and their consequences. An Inductive Logic Programming algorithm generalises observations and deduced knowledge, allowing the agent to execute a good plan. We show results of using PROGOL learning algorithm to distinguish "bad" plans early in the reasoning process, before too many resources are wasted on considering them. We show that additional knowledge needs to be provided before learning can be successful, but argue that the benefits achieved make it worthwhile. Finally, we identify several assumptions made by PROGOL, shared by other similarly universal algorithms, which are well justified in general, but fail to exploit the properties of the class of problems faced by rational agents.</p> Sixth International Conference on Machine Learning and Applications, 13-15 Dec. 2007, Cincinnati, Ohio, USA http://dx.doi.org/10.1109/ICMLA.2007.101 http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:587664 240 ICMLA 2007 : Sixth International Conference on Machine Learning and Applications : proceedings : 13-15 Dec. 2007, Cincinnati, Ohio, USA Conference Paper 235 Learning to evaluate conditional partial plans 2007 2016-09-30T20:39:38Z 2457662.3608565 Learning to evaluate conditional partial plans 500 0 plainlist list 1 [[:Publications:Learning to evaluate conditional partial plans]] Learning to evaluate conditional partial plans# QUERY86b04dabe09aabb2f2d681934d95e08f 500 [2,"smw-datavalue-property-restricted-annotation-use","Publisher"] Learning to evaluate conditional partial plans# ERR6c155b5d70b69ddb590b4f2e73389c2a 500 [2,"smw-datavalue-property-restricted-annotation-use","Author"] Learning to evaluate conditional partial plans# ERRe24f17e090c98448f3de99d03182b7b6