Subject Detail
| Sno | Back | regulation | branch | year | semester | subject_code | name | credits | category |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Back | R23AIML | ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) | 3 | 1 | 23A39502 | INTRODUCTION TO REINFORCEMENT LEARNING | 3.0 | Theory |
Syllabus List
| Sno | subject | description | note | syllabus_file |
|---|---|---|---|---|
| 1 | INTRODUCTION TO REINFORCEMENT LEARNING - 23A39502 (Theory) | 23A39502 | 23A39502 |
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Book List
| Sno | subject | title | author | publisher | edition | book_type | book_file | note |
|---|---|---|---|---|---|---|---|---|
| 1 | INTRODUCTION TO REINFORCEMENT LEARNING - 23A39502 (Theory) | Reinforcement Learning: An Introduction | Richard S. Sutton and Andrew G. Barto | MIT Press | 2nd Edition 2018 | Textbook | Link | True |
| 2 | INTRODUCTION TO REINFORCEMENT LEARNING - 23A39502 (Theory) | An Introduction to Deep Reinforcement Learning | François-Lavet et al., | Foundations and Trends® in Machine Learning, 2018 | None | Reference | Link | True |
| 3 | INTRODUCTION TO REINFORCEMENT LEARNING - 23A39502 (Theory) | Foundations of Deep Reinforcement Learning | Laura Graesser Wah Loon Keng | Pearson | None | Reference | Link | True |
| 4 | INTRODUCTION TO REINFORCEMENT LEARNING - 23A39502 (Theory) | Reinforcement Learning and Games | Aske Plaat | NOne | None | Reference | Link | True |
| 5 | INTRODUCTION TO REINFORCEMENT LEARNING - 23A39502 (Theory) | A Course in Reinforcement Learning 2nd Edition | None | None | 2nd Edition | Reference | Link | True |
OnlineReference List
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Question Paper List
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Lab List
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