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Refer to page 145 for problems on RL algorithms. Instructions: • Implement the Q-learning algorithm for a given environment (e.g., grid world). Show the convergence of the Q-values and the resulting optimal policy. • Analyze the effects of hyperparameters like learning rate and discount factor. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440AZF/view?usp=sharing]

Refer to page 145 for problems on RL algorithms. Instructions: • Implement the Q-learning algorithm for a given environment (e.g., grid world). Show the convergence of the Q-values and the resulting optimal policy. • Analyze the effects of hyperparameters like learning rate and discount factor. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440AZF/view?usp=sharing]

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Refer to page 145 for problems on RL algorithms. Instructions: • Implement the Q-learning algorithm for a given environment (e.g., grid world). Show the convergence of the Q-values and the resulting optimal policy. • Analyze the effects of hyperparameters like learning rate and discount factor. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440AZF/view?usp=sharing]
Transcribed Image Text:Refer to page 145 for problems on RL algorithms. Instructions: • Implement the Q-learning algorithm for a given environment (e.g., grid world). Show the convergence of the Q-values and the resulting optimal policy. • Analyze the effects of hyperparameters like learning rate and discount factor. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440AZF/view?usp=sharing]
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