May 17

Reinforcement Learning Concepts Explained in a Simple Way.

Reinforcement Learning Concepts Explained in a Simple (or not) Way.

This is intended for the beginners who want to know the concepts used in Reinforcement Learning i.e. Interactive Learning.

Reinforcement Learning is also one aspect of Machine Learning, Data Science, and AI

Summary of Tabular Methods in Reinforcement Learning

Comparison between the different tabular methods in Reinforcement Learning

https://towardsdatascience.com/summary-of-tabular-methods-in-reinforcement-learning-39d653e904af

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Silver — Lecture 6: Value Function Approximation

https://medium.com/@SeoJaeDuk/archived-post-rl-course-by-david-silver-lecture-6-value-function-approximation-241695feeb1f

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Going Deeper Into Reinforcement Learning: Understanding Q-Learning and Linear Function Approximation (might not be simple/easy)

https://danieltakeshi.github.io/2016/10/31/going-deeper-into-reinforcement-learning-understanding-q-learning-and-linear-function-approximation/

Reinforcement in Psychology

"Understanding Reinforcement in Psychology. Reinforcement is a term used in operant conditioning to refer to anything that increases the likelihood that a response will occur. … Reinforcement can include anything that strengthens or increases a behavior, including specific tangible rewards, events, and situations."

What Is Reinforcement in Operant Conditioning? – Verywell Mind


https://www.verywellmind.com/what-is-reinforcement-2795414

Introduction to Reinforcement Learning 

https://towardsdatascience.com/introduction-to-reinforcement-learning-chapter-1-fc8a196a09e8

Solving the Multi-Armed Bandit Problem

https://towardsdatascience.com/solving-the-multi-armed-bandit-problem-b72de40db97c

My Journey to Reinforcement Learning — Part 2: Multi-Armed Bandit Problem

https://towardsdatascience.com/my-journey-to-reinforcement-learning-part-2-multi-armed-bandit-problem-eefe1afab73c

Self Learning AI-Agents Part I: Markov Decision Processes

https://towardsdatascience.com/self-learning-ai-agents-part-i-markov-decision-processes-baf6b8fc4c5f

Reinforcement Learning Demystified: Markov Decision Processes (Part 1)

https://towardsdatascience.com/reinforcement-learning-demystified-markov-decision-processes-part-1-bf00dda41690

Reinforcement Learning Demystified: Solving MDPs with Dynamic Programming

https://towardsdatascience.com/reinforcement-learning-demystified-solving-mdps-with-dynamic-programming-b52c8093c919

Planning by Dynamic Programming: Reinforcement Learning

https://towardsdatascience.com/planning-by-dynamic-programming-reinforcement-learning-ed4924bbaa4c

Monte Carlo: Reinforcement Learning for Meal Planning based on Meeting a Set Budget and Personal Preferences (Monte Carlo)
https://towardsdatascience.com/reinforcement-learning-for-meal-planning-based-on-meeting-a-set-budget-and-personal-preferences-9624a520cce4

Monte Carlo Simulations with Python (Part 1)

https://towardsdatascience.com/monte-carlo-simulations-with-python-part-1-f5627b7d60b0

Monte Carlo Without the Math

https://towardsdatascience.com/monte-carlo-without-the-math-90630344ff7b

Simple Reinforcement Learning: Temporal Difference Learning

https://towardsdatascience.com/simple-reinforcement-learning-temporal-difference-learning-53d1b3263d79

Model-Free Prediction: Reinforcement Learning

https://towardsdatascience.com/model-free-prediction-reinforcement-learning-507297e8e2ad

What exactly is bootstrapping in reinforcement learning?

https://datascience.stackexchange.com/questions/26938/what-exactly-is-bootstrapping-in-reinforcement-learning

n-step bootstrapping

http://ipvs.informatik.uni-stuttgart.de/mlr/wp-content/uploads/2018/06/18-RL-nstep.pdf

Planning and Learning with Tabular Methods

https://medium.com/@SeoJaeDuk/archived-post-planning-and-learning-with-tabular-methods-8-1-8-4-bf8f836614d0

Sayed Ahmed

Linkedin: https://ca.linkedin.com/in/sayedjustetc

Blog: http://sitestree.com, http://bangla.salearningschool.com