Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
theoretical agent |
| gptkbp:actionSelection |
maximizes expected future reward
|
| gptkbp:approximation |
gptkb:AIXItl
|
| gptkbp:basedOn |
gptkb:reinforcement_learning
gptkb:Solomonoff_induction |
| gptkbp:computability |
incomputable
|
| gptkbp:describedBy |
gptkb:Universal_Artificial_Intelligence:_Sequential_Decisions_based_on_Algorithmic_Probability
|
| gptkbp:environmentModel |
unknown environment
|
| gptkbp:field |
gptkb:artificial_intelligence
gptkb:machine_learning theoretical computer science |
| gptkbp:firstDescribed |
2000
|
| gptkbp:goal |
maximize expected reward
|
| https://www.w3.org/2000/01/rdf-schema#label |
AIXI agent
|
| gptkbp:limitation |
not computable in practice
|
| gptkbp:proposedBy |
gptkb:Marcus_Hutter
|
| gptkbp:relatedTo |
gptkb:AGI
universal intelligence |
| gptkbp:rewardSignal |
external environment
|
| gptkbp:uses |
algorithmic probability
|
| gptkbp:bfsParent |
gptkb:Universal_Artificial_Intelligence
|
| gptkbp:bfsLayer |
7
|