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Reinforcement Learning

Bachelors Program in AI & ML

Explore Reinforcement Learning as part of Bachelors Program in AI & ML. Read the syllabus and available chapters online.

Academic programmeBachelors Program in AI & ML

LevelBachelor

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Reinforcement LearningSyllabus

Reinforcement Learning FoundationsChapter 1

Markov Decision Processes And Bellman TheoryChapter 2

Multi Armed Bandits And ExplorationChapter 3

Dynamic Programming And PlanningChapter 4

Monte Carlo MethodsChapter 5

Temporal Difference LearningChapter 6

Function Approximation And Scalable RlChapter 7

Policy Gradient And Actorcritic MethodsChapter 8

Deep Reinforcement LearningChapter 9

Model Based Reinforcement LearningChapter 10

Complex Decision EnvironmentsChapter 11

Offline Imitation And Safe Reinforcement LearningChapter 12

Rl Experimentation Analytics And EngineeringChapter 13

Industrial And Managerial ApplicationsChapter 14

Ethics Governance And Future DirectionsChapter 15