Reinforcement Learning Notes

Reinforcement Learning Notes (UNIT 1 to UNIT 4)

Reinforcement Learning is a key subject in Machine Learning and Artificial Intelligence. This page provides organized study material for academic learning and reference.

📘 Reinforcement Learning Syllabus – PDF Preview

Preview the official Reinforcement Learning syllabus PDF outlining unit-wise topics and course structure.

📗 Reinforcement Learning – UNIT 1

UNIT-1 covers the fundamentals of Reinforcement Learning, including agent–environment interaction, rewards, policies, and core learning concepts.

📙 Reinforcement Learning – UNIT 2

UNIT-2 covers advanced topics in Reinforcement Learning, including policy gradients, deep Q-learning, and other state-of-the-art algorithms.

📕 Reinforcement Learning – UNIT 3

Status: Content will be updated soon.

📓 Reinforcement Learning – UNIT 4

Status: Content will be updated soon.

Article by:

Ravula Kartheek, M.Tech, (Ph.D)
Assistant Professor in Data Science
Bapatla Engineering College, Bapatla

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