z-logo
open-access-imgOpen Access
Solving Common-Payoff Games with Approximate Policy Iteration
Author(s) -
Samuel Sokota,
Edward Lockhart,
Finbarr Timbers,
Elnaz Davoodi,
Ryan D'Orazio,
Neil Burch,
Martin Schmid,
Michael Bowling,
Marc Lanctot
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i11.17166
Subject(s) - reinforcement learning , computer science , stochastic game , scalability , artificial intelligence , common knowledge (logic) , scale (ratio) , mathematical optimization , mathematical economics , mathematics , physics , quantum mechanics , database , multimodal logic , epistemic modal logic , description logic

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom