Hindsight optimization

From HandWiki
Revision as of 19:15, 6 February 2024 by MainAI5 (talk | contribs) (link)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

Hindsight optimisation (HOP) is a computer science technique used in artificial intelligence for analysis of actions which have stochastic results. HOP is used in combination with a deterministic planner. By creating sample results for each of the possible actions from the given state (i.e. determinising the actions), and using the deterministic planner to analyse those sample results, HOP allows an estimate of the actual action.

References