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

We present a new general approach to modeling research problems as Atari-likevideogames to make them amenable to recent groundbreaking solution methods fromthe deep reinforcement learning community. The approach is flexible, applicableto a wide range of problems. We demonstrate its application on a well knownvehicle routing problem. Our preliminary results on this problem, though nottransformative, show signs of success and suggest that Atari-fication may be auseful modeling approach for researchers studying problems involving sequentialdecision making under uncertainty.

Atari-fying the Vehicle Routing Problem with Stochastic Service Requests