Reinforcement Learning Week 1 || NPTEL ANSWERS 2026 || My Swayam ||

Reinforcement Learning Week 1 || NPTEL ANSWERS 2026 || My Swayam || #nptel #nptel2026 #myswayam

📝 YouTube Description:
📘 Course: Reinforcement Learning – Week 1
🎓 Instructor: Prof. Balaraman Ravindran (IIT Madras)
🎯 Level: UG / PG
📌 Credit Points: 3
📘 NCrF Level: 4.5 – 8.0
📌 Language: English
🧠 Pre-requisite: Basics of Probability, Linear Algebra (recommended)
👥 Audience: Data Scientists, ML Engineers, AI Enthusiasts, Robotics & CS Students

Welcome to NPTEL Answer Series 2025 – My Swayam!
This video contains Week 1 solutions, insights, and notes for the NPTEL course Reinforcement Learning, taught by the renowned ML expert Prof. Balaraman Ravindran. The course walks you through core RL principles like bandits, MDPs, Bellman equations, policy gradients, and deep reinforcement learning.

📘 Course Layout:

Week 1 : Introduction
Week 2 : Bandit Algorithms – UCB, PAC
Week 3 : Bandits – Median Elimination, Policy Gradient
Week 4 : Full Reinforcement Learning & MDPs
Week 5 : Bellman Optimality
Week 6 : Dynamic Programming & Temporal Difference (TD) Methods
Week 7 : Eligibility Traces
Week 8 : Function Approximation
Week 9 : Least Squares Methods
Week 10 : Fitted Q, Deep Q Networks (DQN), Policy Gradient for RL
Week 11 : Hierarchical Reinforcement Learning
Week 12 : Partially Observable MDPs (POMDPs)

📚 Recommended Reading:
Sutton, R.S. & Barto, A.G. – Reinforcement Learning: An Introduction (MIT Press)

📥 Get Weekly Answers, Notes, and PDFs
👉 https://forms.gle/hZ3NsFDdJQz1BHd98

📄 Week 1 Assignment Link:
👉 https://onlinecourses.nptel.ac.in/noc...

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