Reinforcement Learning free videos and free material uploaded by Indian Institute of Technology, chennai (IIT chennai). This session contains about Reinforcement Learning Updated syllabus , Lecture notes , videos , MCQ , Privious Question papers and Toppers Training Provided Training of this course. If Material not uploaded check another subject
Week 1 : Introduction
Week 2 : Bandit algorithms – UCB, PAC
Week 3: Bandit algorithms –Median Elimination, Policy Gradient
Week 4: Full RL & MDPs
Week 5 : Bellman Optimality
Week 6: Dynamic Programming & TD Methods
Week 7 : Eligibility Traces
Week 8 : Function Approximation
Week 9: Least Squares Methods
Week 10: Fitted Q, DQN & Policy Gradient for Full RL
Week 11: Hierarchical RL
Week 12: POMDPs
Reinforcement learning is a paradigm that aims to model the trial-and-error learning process that is needed in many problem situations where explicit instructive signals are not available. It has roots in operations research, behavioral psychology and AI. The goal of the course is to introduce the basic mathematical foundations of reinforcement learning, as well as highlight some of the recent directions of research.INTENDED AUDIENCE : Any interested learnerINDUSTRY SUPPORT :Data analytics/data science/robotics
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