English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper studies value iteration for infinite horizon contracting Markovdecision processes under convexity assumptions and when the state space isuncountable. The original value iteration is replaced with a more tractableform and the fixed points from the modified Bellman operators will be shown toconverge uniformly on compacts sets to their original counterparts. This holdsunder various sampling approaches for the random disturbances. Moreover, thispaper will present conditions in which these fixed points form monotonesequences of lower bounding or upper bounding functions for the original fixedpoint. This approach is then demonstrated numerically on a perpetual Bermudanput option.

Value iteration for approximate dynamic programming under convexity