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/

Zendy Plus

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

Zendy Tools

Zendy Open

We present for the first time an asymptotic convergence analysis of twotime-scale stochastic approximation driven by `controlled' Markov noise. Inparticular, both the faster and slower recursions have non-additive controlledMarkov noise components in addition to martingale difference noise. We analyzethe asymptotic behavior of our framework by relating it to limitingdifferential inclusions in both time-scales that are defined in terms of theergodic occupation measures associated with the controlled Markov processes.Finally, we present a solution to the off-policy convergence problem fortemporal difference learning with linear function approximation, using ourresults.

Two Timescale Stochastic Approximation with Controlled Markov noise and Off-policy temporal difference learning