Matches in SemOpenAlex for { <https://semopenalex.org/work/W1608163921> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W1608163921 abstract "In reinforcement learning, when dimensionality of the state space increases, making use of state abstraction seems inevitable. Among the methods proposed to solve this problem, decision tree based methods could be useful as they provide automatic state abstraction. But existing methods use univariate, therefore axis-aligned, splits in decision nodes, imposing hyper-rectangular partitioning of the state space. In some applications, multivariate splits can generate smaller and more accurate trees. In this paper, we use oblique decision trees as an instance of multivariate trees to implement state abstraction for reinforcement learning agents. Simulation results on mountain car and puddle world tasks show significant improvement in the average received rewards, average number of steps to finish the task, and size of the trees both in learning and test phases." @default.
- W1608163921 created "2016-06-24" @default.
- W1608163921 creator A5010430405 @default.
- W1608163921 creator A5021779332 @default.
- W1608163921 date "2010-01-01" @default.
- W1608163921 modified "2023-09-26" @default.
- W1608163921 title "Multivariate Decision Tree Function Approximation for Reinforcement Learning" @default.
- W1608163921 cites W2131600418 @default.
- W1608163921 doi "https://doi.org/10.1007/978-3-642-17537-4_83" @default.
- W1608163921 hasPublicationYear "2010" @default.
- W1608163921 type Work @default.
- W1608163921 sameAs 1608163921 @default.
- W1608163921 citedByCount "1" @default.
- W1608163921 countsByYear W16081639212020 @default.
- W1608163921 crossrefType "book-chapter" @default.
- W1608163921 hasAuthorship W1608163921A5010430405 @default.
- W1608163921 hasAuthorship W1608163921A5021779332 @default.
- W1608163921 hasConcept C10229987 @default.
- W1608163921 hasConcept C105795698 @default.
- W1608163921 hasConcept C111030470 @default.
- W1608163921 hasConcept C111472728 @default.
- W1608163921 hasConcept C113174947 @default.
- W1608163921 hasConcept C119857082 @default.
- W1608163921 hasConcept C124304363 @default.
- W1608163921 hasConcept C134306372 @default.
- W1608163921 hasConcept C138885662 @default.
- W1608163921 hasConcept C154945302 @default.
- W1608163921 hasConcept C161584116 @default.
- W1608163921 hasConcept C162324750 @default.
- W1608163921 hasConcept C187736073 @default.
- W1608163921 hasConcept C199163554 @default.
- W1608163921 hasConcept C2780451532 @default.
- W1608163921 hasConcept C33923547 @default.
- W1608163921 hasConcept C41008148 @default.
- W1608163921 hasConcept C5481197 @default.
- W1608163921 hasConcept C72434380 @default.
- W1608163921 hasConcept C84525736 @default.
- W1608163921 hasConcept C97541855 @default.
- W1608163921 hasConceptScore W1608163921C10229987 @default.
- W1608163921 hasConceptScore W1608163921C105795698 @default.
- W1608163921 hasConceptScore W1608163921C111030470 @default.
- W1608163921 hasConceptScore W1608163921C111472728 @default.
- W1608163921 hasConceptScore W1608163921C113174947 @default.
- W1608163921 hasConceptScore W1608163921C119857082 @default.
- W1608163921 hasConceptScore W1608163921C124304363 @default.
- W1608163921 hasConceptScore W1608163921C134306372 @default.
- W1608163921 hasConceptScore W1608163921C138885662 @default.
- W1608163921 hasConceptScore W1608163921C154945302 @default.
- W1608163921 hasConceptScore W1608163921C161584116 @default.
- W1608163921 hasConceptScore W1608163921C162324750 @default.
- W1608163921 hasConceptScore W1608163921C187736073 @default.
- W1608163921 hasConceptScore W1608163921C199163554 @default.
- W1608163921 hasConceptScore W1608163921C2780451532 @default.
- W1608163921 hasConceptScore W1608163921C33923547 @default.
- W1608163921 hasConceptScore W1608163921C41008148 @default.
- W1608163921 hasConceptScore W1608163921C5481197 @default.
- W1608163921 hasConceptScore W1608163921C72434380 @default.
- W1608163921 hasConceptScore W1608163921C84525736 @default.
- W1608163921 hasConceptScore W1608163921C97541855 @default.
- W1608163921 hasLocation W16081639211 @default.
- W1608163921 hasOpenAccess W1608163921 @default.
- W1608163921 hasPrimaryLocation W16081639211 @default.
- W1608163921 hasRelatedWork W1483994939 @default.
- W1608163921 hasRelatedWork W1967148170 @default.
- W1608163921 hasRelatedWork W1975103463 @default.
- W1608163921 hasRelatedWork W2011862483 @default.
- W1608163921 hasRelatedWork W2117133386 @default.
- W1608163921 hasRelatedWork W2134879823 @default.
- W1608163921 hasRelatedWork W2148469943 @default.
- W1608163921 hasRelatedWork W2148598744 @default.
- W1608163921 hasRelatedWork W2414258914 @default.
- W1608163921 hasRelatedWork W2494495812 @default.
- W1608163921 hasRelatedWork W2619301103 @default.
- W1608163921 hasRelatedWork W2912071732 @default.
- W1608163921 hasRelatedWork W2923496202 @default.
- W1608163921 hasRelatedWork W2963438370 @default.
- W1608163921 hasRelatedWork W3002769442 @default.
- W1608163921 hasRelatedWork W3101861709 @default.
- W1608163921 hasRelatedWork W3106930831 @default.
- W1608163921 hasRelatedWork W3202663598 @default.
- W1608163921 hasRelatedWork W87848775 @default.
- W1608163921 hasRelatedWork W98552495 @default.
- W1608163921 isParatext "false" @default.
- W1608163921 isRetracted "false" @default.
- W1608163921 magId "1608163921" @default.
- W1608163921 workType "book-chapter" @default.