Matches in SemOpenAlex for { <https://semopenalex.org/work/W1591691971> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W1591691971 endingPage "40" @default.
- W1591691971 startingPage "25" @default.
- W1591691971 abstract "This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered in the Reactive Tabu Search (RTS) method, where the appropriate amount of diversification in prohibition-based (Tabu) local search is adapted in a fast online manner to the characteristics of a task and of the local configuration. We model the parameter-tuning policy as a Markov Decision Process where the states summarize relevant information about the recent history of the search, and we determine a near-optimal policy by using the Least Squares Policy Iteration (LSPI) method. Preliminary experiments on Maximum Satisfiability (MAX-SAT) instances show very promising results indicating that the learnt policy is competitive with previously proposed reactive strategies." @default.
- W1591691971 created "2016-06-24" @default.
- W1591691971 creator A5031667150 @default.
- W1591691971 creator A5061026406 @default.
- W1591691971 creator A5085078006 @default.
- W1591691971 date "2008-01-01" @default.
- W1591691971 modified "2023-09-25" @default.
- W1591691971 title "Learning While Optimizing an Unknown Fitness Surface" @default.
- W1591691971 cites W1519526968 @default.
- W1591691971 cites W1558501738 @default.
- W1591691971 cites W1726070994 @default.
- W1591691971 cites W1977287297 @default.
- W1591691971 cites W1989353689 @default.
- W1591691971 cites W2029229881 @default.
- W1591691971 cites W2081782720 @default.
- W1591691971 cites W4256738186 @default.
- W1591691971 doi "https://doi.org/10.1007/978-3-540-92695-5_3" @default.
- W1591691971 hasPublicationYear "2008" @default.
- W1591691971 type Work @default.
- W1591691971 sameAs 1591691971 @default.
- W1591691971 citedByCount "8" @default.
- W1591691971 countsByYear W15916919712014 @default.
- W1591691971 countsByYear W15916919712016 @default.
- W1591691971 crossrefType "book-chapter" @default.
- W1591691971 hasAuthorship W1591691971A5031667150 @default.
- W1591691971 hasAuthorship W1591691971A5061026406 @default.
- W1591691971 hasAuthorship W1591691971A5085078006 @default.
- W1591691971 hasBestOaLocation W15916919712 @default.
- W1591691971 hasConcept C105795698 @default.
- W1591691971 hasConcept C106189395 @default.
- W1591691971 hasConcept C119857082 @default.
- W1591691971 hasConcept C123370116 @default.
- W1591691971 hasConcept C126255220 @default.
- W1591691971 hasConcept C135320971 @default.
- W1591691971 hasConcept C135450995 @default.
- W1591691971 hasConcept C154945302 @default.
- W1591691971 hasConcept C159886148 @default.
- W1591691971 hasConcept C162324750 @default.
- W1591691971 hasConcept C187736073 @default.
- W1591691971 hasConcept C2778770139 @default.
- W1591691971 hasConcept C2780451532 @default.
- W1591691971 hasConcept C33923547 @default.
- W1591691971 hasConcept C41008148 @default.
- W1591691971 hasConcept C90189156 @default.
- W1591691971 hasConcept C97541855 @default.
- W1591691971 hasConceptScore W1591691971C105795698 @default.
- W1591691971 hasConceptScore W1591691971C106189395 @default.
- W1591691971 hasConceptScore W1591691971C119857082 @default.
- W1591691971 hasConceptScore W1591691971C123370116 @default.
- W1591691971 hasConceptScore W1591691971C126255220 @default.
- W1591691971 hasConceptScore W1591691971C135320971 @default.
- W1591691971 hasConceptScore W1591691971C135450995 @default.
- W1591691971 hasConceptScore W1591691971C154945302 @default.
- W1591691971 hasConceptScore W1591691971C159886148 @default.
- W1591691971 hasConceptScore W1591691971C162324750 @default.
- W1591691971 hasConceptScore W1591691971C187736073 @default.
- W1591691971 hasConceptScore W1591691971C2778770139 @default.
- W1591691971 hasConceptScore W1591691971C2780451532 @default.
- W1591691971 hasConceptScore W1591691971C33923547 @default.
- W1591691971 hasConceptScore W1591691971C41008148 @default.
- W1591691971 hasConceptScore W1591691971C90189156 @default.
- W1591691971 hasConceptScore W1591691971C97541855 @default.
- W1591691971 hasLocation W15916919711 @default.
- W1591691971 hasLocation W15916919712 @default.
- W1591691971 hasLocation W15916919713 @default.
- W1591691971 hasOpenAccess W1591691971 @default.
- W1591691971 hasPrimaryLocation W15916919711 @default.
- W1591691971 hasRelatedWork W1543589757 @default.
- W1591691971 hasRelatedWork W1996764736 @default.
- W1591691971 hasRelatedWork W2025690249 @default.
- W1591691971 hasRelatedWork W2043736449 @default.
- W1591691971 hasRelatedWork W2061323558 @default.
- W1591691971 hasRelatedWork W2109681092 @default.
- W1591691971 hasRelatedWork W2139271550 @default.
- W1591691971 hasRelatedWork W2363406048 @default.
- W1591691971 hasRelatedWork W2367586046 @default.
- W1591691971 hasRelatedWork W2798464941 @default.
- W1591691971 isParatext "false" @default.
- W1591691971 isRetracted "false" @default.
- W1591691971 magId "1591691971" @default.
- W1591691971 workType "book-chapter" @default.