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1. 1▶Lecture 2 | Multi-arm Bandits | Reinforcement Learning Course | IIT KanpurEE675 (2024) Introduction to Reinforcement Learning Course | IIT KanpurNotes
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2. 2▶Lecture 1 | Machine Learning Paradigms - An Overview | Reinforcement Learning Course | IIT KanpurEE675 (2024) Introduction to Reinforcement Learning Course | IIT KanpurNotes
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3. 3▶Lecture 13 | Value Iteration and Monte Carlo Prediction | Reinforcement Learning Course | IIT KanpurEE675 (2024) Introduction to Reinforcement Learning Course | IIT KanpurNotes
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4. 4▶Lecture 10 - Bellman Expectation Equations for MDP | Reinforcement Learning Course | IIT KanpurEE675 (2024) Introduction to Reinforcement Learning Course | IIT KanpurNotes
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5. 5▶Lecture 11 | Bellman Optimality Eqs | Policy Iteration | Reinforcement Learning Course | IIT KanpurEE675 (2024) Introduction to Reinforcement Learning Course | IIT KanpurNotes
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6. 6▶Lecture 12 | Convergence Proof of Policy Iteration | Reinforcement Learning Course | IIT KanpurEE675 (2024) Introduction to Reinforcement Learning Course | IIT KanpurNotes
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7. 7▶Lecture 4 - Regret Analysis of UCB Bandit algorithm | Reinforcement Learning | IIT KanpurEE675 (2024) Introduction to Reinforcement Learning Course | IIT KanpurNotes
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8. 8▶Lecture 5 - UCB Regret | KL Divergence | B–H inequality | Reinforcement Learning Course | IIT KanpurEE675 (2024) Introduction to Reinforcement Learning Course | IIT KanpurNotes
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9. 9▶Lecture 6 - Lower Bound on Regret for Bandit Algorithms | Reinforcement Learning Course | IIT KanpurEE675 (2024) Introduction to Reinforcement Learning Course | IIT KanpurNotes
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10. 10▶Lecture 7 - Thompson Sampling for Multi-arm Bandits | Reinforcement Learning Course | IIT KanpurEE675 (2024) Introduction to Reinforcement Learning Course | IIT KanpurNotes
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11. 11▶[Continual Learning Course] Extra Lecture: Invited TalksContinual Learning CourseNotes
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12. 12▶[Continual Learning Course] Extra Lecture: Avalanche Dev DayContinual Learning CourseNotes
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13. 13▶[Continual Learning Course] Lecture #8: Frontiers of Continual LearningContinual Learning CourseNotes
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14. 14▶[Continual Learning Course] Lecture #7: Methodologies (Part 3), Applications & ToolsContinual Learning CourseNotes
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15. 15▶[Continual Learning Course] Lecture #6: Methodologies (Part 2)Continual Learning CourseNotes
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16. 16▶[Continual Learning Course] Lecture #5: Methodologies (Part 1)Continual Learning CourseNotes
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17. 17▶[Continual Learning Course] Lecture #4: Evaluation & MetricsContinual Learning CourseNotes
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18. 18▶[Continual Learning Course] Lecture #3: Scenarios & BenchmarksContinual Learning CourseNotes
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19. 19▶[Continual Learning Course] Lecture #2: Understanding Catastrophic ForgettingContinual Learning CourseNotes
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20. 20▶[Continual Learning Course] Lecture #1: Introduction and MotivationContinual Learning CourseNotes
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21. 21▶A short introduction to infinite setsUnderstanding Machine Learning - Shai Ben-David (UWaterloo Winter 2015)Notes
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22. 22▶Machine Learning course- Shai Ben-David: Lecture 22Understanding Machine Learning - Shai Ben-David (UWaterloo Winter 2015)Notes
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23. 23▶Machine Learning course- Shai Ben-David: Lecture 23Understanding Machine Learning - Shai Ben-David (UWaterloo Winter 2015)Notes
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24. 24▶Machine Learning course- Shai Ben-David: Lecture 21Understanding Machine Learning - Shai Ben-David (UWaterloo Winter 2015)Notes
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25. 25▶Machine Learning course- Shai Ben-David: Lecture 17Understanding Machine Learning - Shai Ben-David (UWaterloo Winter 2015)Notes
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26. 26▶Machine Learning course- Shai Ben-David: Lecture 20Understanding Machine Learning - Shai Ben-David (UWaterloo Winter 2015)Notes
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27. 27▶Machine Learning course- Shai Ben-David: Lecture 19Understanding Machine Learning - Shai Ben-David (UWaterloo Winter 2015)Notes
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28. 28▶Machine Learning course- Shai Ben-David: Lecture 18Understanding Machine Learning - Shai Ben-David (UWaterloo Winter 2015)Notes
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29. 29▶Machine Learning course- Shai Ben-David: Lecture 16Understanding Machine Learning - Shai Ben-David (UWaterloo Winter 2015)Notes
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30. 30▶Machine Learning course- Shai Ben-David: Lecture 15Machine Learning TheoryNotes
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31. 31▶Machine Learning course- Shai Ben-David: Lecture 15Understanding Machine Learning - Shai Ben-David (UWaterloo Winter 2015)Notes
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32. 32▶Machine Learning course- Shai Ben-David: Lecture 14Machine Learning TheoryNotes
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33. 33▶Machine Learning course- Shai Ben-David: Lecture 13Machine Learning TheoryNotes
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34. 34▶Machine Learning course- Shai Ben-David: Lecture 12Machine Learning TheoryNotes
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35. 35▶Machine Learning course- Shai Ben-David: Lecture 11Machine Learning TheoryNotes
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36. 36▶Machine Learning course- Shai Ben-David: Lecture 10Machine Learning TheoryNotes
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37. 37▶Machine Learning course- Shai Ben-David: Lecture 9Machine Learning TheoryNotes
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38. 38▶Machine Learning course- Shai Ben-David: Lecture 8Machine Learning TheoryNotes
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39. 39▶Machine Learning course- Shai Ben-David: Lecture 7Machine Learning TheoryNotes
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40. 40▶Machine Learning course - Shai Ben-David : Lecture 6 by Mohammad-Hassan Zokaei AshtianiMachine Learning TheoryNotes
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