P.E.A.R.L.

Platform to Explore Algorithms in Reinforcement Learning

Episodes

Credits

Content Development - Dhruv Chadha, Shashwat Raghuvanshi

Website Development - Dev Kalra, Mohit Nathrani

Illustrations/Graphics - Manish Chandra, Tarun Kumar Singh

Special thanks to Dr. Aruna Tiwari and Dr. Kapil Ahuja for mentoring this project.

Episode 1 : Introduction

How can we make machines mimic the way humans learn, so they too become expert decision makers?

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Episode 2 : Mathematical Treatment

Mathematical modelling of the human decision making process.

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Chapter 3 : Evaluation Improvement Interplay

A very interesting phenomenon occurs while searching for the optimal decision making strategy.

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Chapter 4 : Dynamic Programming

One of the first and foundational methods to solve the Bellman Equations. Limited in utility, but very essential conceptually.

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Chapter 5 : Monte Carlo Methods

What to do when we don't have the complete knowledge of the environment and its transitions?

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Chapter 6 : Temporal Difference Learning

Why to wait till the end of the episode?

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