Matches in SemOpenAlex for { <https://semopenalex.org/work/W2216655268> ?p ?o ?g. }
Showing items 1 to 41 of
41
with 100 items per page.
- W2216655268 abstract "Current state of the art methods in energy policy planning only approximate the problem (Linear Programming on a finite sample of scenarios, Dynamic Programming on an approximation of the problem, etc). Monte-Carlo Tree Search (MCTS [3]) seems to be a potential candidate to converge to an exact solution of these problems ([2]). But how fast, and how do key parameters (double/simple progressive widening) influence the rate of convergence (or even the convergence itself), are still open questions. Also, MCTS completely ignores the features of the problem, including the scale of the objective function. In this paper, we present MCTS, and its extension to continuous/stochastic domains. We show that on problems with continuous action spaces and infinite support of random variables, the vanilla version of MCTS fails. We also show how the double progressive widening technique success[2] relies on its widening coefficient. We also study the impact of an unknown variance of the random variables, to see if it affects the optimal choice of the widening coefficients." @default.
- W2216655268 created "2016-06-24" @default.
- W2216655268 creator A5027412360 @default.
- W2216655268 creator A5058861408 @default.
- W2216655268 date "2011-09-09" @default.
- W2216655268 modified "2023-09-26" @default.
- W2216655268 title "Adding Double Progressive Widening to Upper Confidence Trees to Cope with Uncertainty in Planning Problems" @default.
- W2216655268 cites W107054272 @default.
- W2216655268 cites W1500868819 @default.
- W2216655268 cites W1714211023 @default.
- W2216655268 cites W2158858912 @default.
- W2216655268 cites W2168165432 @default.
- W2216655268 cites W84074851 @default.
- W2216655268 hasPublicationYear "2011" @default.
- W2216655268 type Work @default.
- W2216655268 sameAs 2216655268 @default.
- W2216655268 citedByCount "0" @default.
- W2216655268 crossrefType "proceedings-article" @default.
- W2216655268 hasAuthorship W2216655268A5027412360 @default.
- W2216655268 hasAuthorship W2216655268A5058861408 @default.
- W2216655268 hasBestOaLocation W22166552681 @default.
- W2216655268 hasConcept C41008148 @default.
- W2216655268 hasConceptScore W2216655268C41008148 @default.
- W2216655268 hasLocation W22166552681 @default.
- W2216655268 hasLocation W22166552682 @default.
- W2216655268 hasOpenAccess W2216655268 @default.
- W2216655268 hasPrimaryLocation W22166552681 @default.
- W2216655268 hasRelatedWork W2130043461 @default.
- W2216655268 hasRelatedWork W2350741829 @default.
- W2216655268 hasRelatedWork W2358668433 @default.
- W2216655268 hasRelatedWork W2376932109 @default.
- W2216655268 hasRelatedWork W2382290278 @default.
- W2216655268 hasRelatedWork W2390279801 @default.
- W2216655268 hasRelatedWork W2748952813 @default.
- W2216655268 hasRelatedWork W2899084033 @default.
- W2216655268 hasRelatedWork W3004735627 @default.
- W2216655268 hasRelatedWork W2530322880 @default.
- W2216655268 isParatext "false" @default.
- W2216655268 isRetracted "false" @default.
- W2216655268 magId "2216655268" @default.
- W2216655268 workType "article" @default.