10. Reinforcement Learning

Unit 10 01 Introduction.mp4

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Unit 10 2 Successes.mp4

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(DO NOT WATCH-SAME Video as above but INCOMPLETE-Watch preceding video instead. This video is linked just for archival purpose) Unit 10 02 Successes.mp4

Unit 10 03 Forms of Learning.mp4

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Unit 10 04 Forms of Learning Question.mp4

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Unit 10 05 Forms of Learning Answer.mp4

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Unit 10 06 MDP Review.mp4

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Unit 10 07 Solving a MDP.mp4

Note: argmax should be max in the formula for utility.

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Unit 10 08 Agents of Reinforcement Learning.mp4

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Unit 10 09 Passive vs Active.mp4

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Unit 10 10 Passive Temporal Difference Learning.mp4

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Unit 10 11 Passive Agent Results.mp4

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Unit 10 12 Weaknesses Question.mp4

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Unit 10 13 Weaknesses Answers.mp4

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Unit 10 14 Active Reinforcement Learning.mp4

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Unit 10 15 Greedy Agent Results.mp4

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Unit 10 16 Balancing Policy.mp4

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Unit 10 17 Errors in Utility Questions.mp4

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Unit 10 18 Errors in Utility Answers.mp4

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Unit 10 19 Exploration Agents.mp4

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Unit 10 20 Exploration Agent Results.mp4

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Unit 10 21 Q Learning 1.mp4

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Unit 10 22 Q Learning 2.mp4

Important: Earlier clarification to use the formula on Wikipedia was not correct.  Please use the formula as displayed in this video and for the homework. The s in R(s) is for the current state and not R(s') as in other formulations of Q-learning.

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Unit 10 23 Pacman 1.mp4

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Unit 10 24 Pacman 2.mp4

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Unit 10 25 Conclusion.mp4

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