Reinforcement Learning
Reinforcement Learning. Instructor: Prof. Balaraman Ravindran, Department of Computer Science and Engineering, IIT Madras. 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. (from nptel.ac.in)
| Lecture 06 - RL Framework and Applications |
In this lecture we discuss the basic framework within which reinforcement learning is applied. We describe how reinforcement learning is different from other machine learning paradigms and discuss in detail the application of reinforcement learning to the tic-tac-toe game to give an idea of the workings of different reinforcement learning algorithms.
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