Large Scale Q-Tables

Collaborative Learning Agents

Volume

Papers from the 2002 AAAI Spring Symposium

Contents

This article studies the possibilities for Q-learning to learn the bidding in the card-game bridge. The learnt bidding systems are quite useful but below the level of an average club-player. Some studies regarding the relation between the learning rate, the exploration rate and initial Q-values are also done.