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

For general-sum, n-player, strategic games with transferable utility, theHarsanyi-Shapley value provides a computable method to both 1) quantify thestrategic value of a player; and 2) make cooperation rational through sidepayments. We give a simple formula to compute the HS value in normal-formgames. Next, we provide two methods to generalize the HS values to stochastic(or Markov) games, and show that one of them may be computed using generalizedQ-learning algorithms. Finally, an empirical validation is performed onstochastic grid-games with three or more players. Source code is provided tocompute HS values for both the normal-form and stochastic game setting.

Learning Strategic Value and Cooperation in Multi-Player Stochastic Games through Side Payments