Optimal and nearly optimal policies for a class of adaptive control processes.
ResearchPublished 1962
A study concerned with the problem of finding optimal and nearly optimal policies for several variants of a general adaptive control process. The variants discussed are closely related in form. They differ only with respect to the type of return information and the objectives of the policy adopted by the observer. For each of these three variants, the optimal policy is particularly easy to compute when the known a priori distribution <> is symmetric. When the known distribution <> is not symmetric, the optimal policy can be approximated by the policy that is optimal for symmetric distributions. Alternatively, the distribution itself can be approximated by another distri- bution for which the optimal policy can easily be computed.
Document Details
- Copyright: RAND Corporation
- Availability: Web Only
- Year: 1962
- Pages: 53
- DOI: https://doi.org/10.7249/pubs
- Document Number: RM-2937-PR
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