MC-AIXI-CTW

E1914863 UNEXPLORED

MC-AIXI-CTW is a computable reinforcement learning agent that approximates the theoretical AIXI model by combining Monte Carlo tree search with context-tree weighting for sequence prediction.

Try in SPARQL Jump to: Surface forms Referenced by

All labels observed (2)

Label	Occurrences
MC-AIXI-CTW canonical	1
Reinforcement Learning via AIXI Approximation	1

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

AIXI → hasApproximation → MC-AIXI-CTW ⓘ

subject linked to: AIXI model

Joel Veness → notableWork → Reinforcement Learning via AIXI Approximation ⓘ

linked to: MC-AIXI-CTW