2) 5 Let P(A) = 2. Calculate the upper bound for P(U A;) using union bound (rounded to 3 decimal places). O 0.937 0.984 ○ 0.969 1 i=1 3) Which of the following is/are the shortcomings of TD Learning that Q-learning resolves? UTD learning cannot provide values for (state, action) pairs, limiting the ability to extract an optimal policy directly ☐ TD learning requires knowledge of the reward and transition functions, which is not always available ☐ TD learning is computationally expensive and slow compared to Q-learning TD learning often suffers from high variance in value estimation, leading to unstable learning TD learning cannot handle environments with continuous state and action spaces effectively

2) 5 Let P(A) = 2. Calculate the upper bound for P(U A;) using union bound (rounded to 3 decimal places). O 0.937 0.984 ○ 0.969 1 i=1 3) Which of the following is/are the shortcomings of TD Learning that Q-learning resolves? UTD learning cannot provide values for (state, action) pairs, limiting the ability to extract an optimal policy directly ☐ TD learning requires knowledge of the reward and transition functions, which is not always available ☐ TD learning is computationally expensive and slow compared to Q-learning TD learning often suffers from high variance in value estimation, leading to unstable learning TD learning cannot handle environments with continuous state and action spaces effectively

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

Problem 1PE

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