defined a proper policy for an MDP as one that is guaranteed to reach aterminal state. Show that it is possible for a passive ADP agent to learn a transition modelfor which its policy is improper even if is proper for the true MDP; with such models,the value determination step may fail if y=1. Show that this problem cannot arise if valuedetermination is applied to the learned model only at the end of a trial.

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defined a proper policy for an MDP as one that is guaranteed to reach a terminal state. Show that it is possible for a passive ADP agent to learn a transition model for which its policy is improper even if 7 is proper for the true MDP; with such models, the value determination step may fail if y=1. Show that this problem cannot arise if value determination is applied to the learned model only at the end of a trial.

defined a proper policy for an MDP as one that is guaranteed to reach a terminal state. Show that it is possible for a passive ADP agent to learn a transition model for which its policy is improper even if 7 is proper for the true MDP; with such models, the value determination step may fail if y=1. Show that this problem cannot arise if value determination is applied to the learned model only at the end of a trial.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

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defined a proper policy for an MDP as one that is guaranteed to reach a
terminal state. Show that it is possible for a passive ADP agent to learn a transition model
for which its policy is improper even if is proper for the true MDP; with such models,
the value determination step may fail if y=1. Show that this problem cannot arise if value
determination is applied to the learned model only at the end of a trial.

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