Presents an adaptive framework for multi-agent stochastic matrix games where agents simultaneously learn optimal policies while estimating incomplete latent state transitions and opponent belief dynamics.
@inproceedings{sajjadi2014matrix,
title = {Simultaneous Learning and State Estimation in Repeated Matrix Games},
author = {Sajjadi Mohammadabadi, Seyed Mahmoud and Nili, Majid and Kebriaei, Hamed},
booktitle = {4th International Conference on Information Technology Management, Communication and Computer},
pages = {298--301},
year = {2014}
}