Bellman's principle of optimality
GPTKB entity
Statements (15)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
principle
|
| gptkbp:appliesTo |
Markov decision processes
sequential decision processes |
| gptkbp:defines |
An optimal policy has the property that whatever the initial state and initial decision are, the remaining decisions must constitute an optimal policy with regard to the state resulting from the first decision.
|
| gptkbp:describes |
optimal policy
|
| gptkbp:field |
optimization
dynamic programming |
| gptkbp:formedBy |
gptkb:Richard_Bellman
|
| https://www.w3.org/2000/01/rdf-schema#label |
Bellman's principle of optimality
|
| gptkbp:statedIn |
Dynamic Programming (1957)
|
| gptkbp:usedIn |
gptkb:reinforcement_learning
control theory operations research |
| gptkbp:bfsParent |
gptkb:Pontryagin's_maximum_principle
|
| gptkbp:bfsLayer |
7
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