A survey of solution techniques for the partially observed Markov decision process

We survey several computational procedures for the partially observed Markov decision process (POMDP) that have been developed since the Monahan survey was published in 1982. The POMDP generalizes the standard, completely observed Markov decision process by permitting the possibility that state observations may be noise-corrupted and/or costly. Several computational procedures presented are convergence accelerating variants of, or approximations to, the Smallwood-Sondik algorithm. Finite-memory suboptimal design results are reported, and new research directions involving heuristic search are discussed.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/44198/1/10479_2005_Article_BF02204836.pd

Assessing suitability for offender rehabilitation : development and validation of the treatment readiness questionnaire

Although the need to assess appropriate candidates for offender rehabilitation programs is widely acknowledged, few assessment tools are available that have been validated for use with offender populations. This article reports on the development and validation of a brief self-report measure designed to assess treatment readiness in offenders who have been referred to a cognitive skills program. The measure, the Corrections Victoria Treatment Readiness Questionnaire, displayed acceptable levels of convergent and discriminant validity, and was able to predict treatment engagement and treatment performance at the midpoint of the program. Suggested cutoff points are reported for use in assessing offenders for this type of program. It is concluded that the measure can play a valuable role in the assessment of offenders who are being considered for rehabilitative treatment. <br /