Hindsight optimization

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.

Artificial intelligence technique

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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.^[1][2]

References

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1. ^ PhD, S. Moazeni (2025-05-30). "Hindsight Optimization". Medium. Retrieved 2025-06-21.
2. ^ Issakkimuthu, Murugeswari; Fern, Alan; Khardon, Roni; Tadepalli, Prasad; Xue, Shan (2015). "Hindsight Optimization for Probabilistic Planning with Factored Actions" (PDF). Retrieved 2025-06-21.{{cite web}}: CS1 maint: multiple names: authors list (link)

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