Foundation of Q-learning | Temporal Difference Learning explained!
Channel: CodeEmporium
Date: 2023-10-30

Let's talk about the foundation concept of Q-learning, SARSA called Temporal Difference Learning.


ABOUT ME
⭕ Subscribe: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1
📚 Medium Blog: https://medium.com/@dataemporium
💻 Github: https://github.com/ajhalthor
👔 LinkedIn: https://www.linkedin.com/in/ajay-halthor-477974bb/

RESOURCES
[1] Reinforcement Learning book: http://incompleteideas.net/book/RLbook2020.pdf
[2] Paradigms of ML: https://idapgroup.com/blog/types-of-machine-learning-out-there/
[3] Model Free vs Model Based RL: https://spinningup.openai.com/en/latest/spinningup/rl_intro2.html
[4] Bellman Equation video: https://youtu.be/9JZID-h6ZJ0

PLAYLISTS FROM MY CHANNEL
⭕ Reinforcement Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9kS--NgVz0EPNyEmygV1Ha&si=AuThDZJwG19cgTA8
Natural Language Processing: https://youtube.com/playlist?list=PLTl9hO2Oobd_bzXUpzKMKA3liq2kj6LfE&si=LsVy8RDPu8jeO-cc
⭕ Transformers from Scratch: https://youtube.com/playlist?list=PLTl9hO2Oobd_bzXUpzKMKA3liq2kj6LfE
⭕ ChatGPT Playlist: https://youtube.com/playlist?list=PLTl9hO2Oobd9coYT6XsTraTBo4pL1j4HJ
⭕  Convolutional Neural Networks: https://youtube.com/playlist?list=PLTl9hO2Oobd9U0XHz62Lw6EgIMkQpfz74
⭕  The Math You Should Know : https://youtube.com/playlist?list=PLTl9hO2Oobd-_5sGLnbgE8Poer1Xjzz4h
⭕ Probability Theory for Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9bPcq0fj91Jgk_-h1H_W3V
⭕ Coding Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd82vcsOnvCNzxrZOlrz3RiD


MATH COURSES (7 day free trial)
📕 Mathematics for Machine Learning: https://imp.i384100.net/MathML
📕 Calculus: https://imp.i384100.net/Calculus
📕 Statistics for Data Science: https://imp.i384100.net/AdvancedStatistics
📕 Bayesian Statistics: https://imp.i384100.net/BayesianStatistics
📕 Linear Algebra: https://imp.i384100.net/LinearAlgebra
📕 Probability: https://imp.i384100.net/Probability

OTHER RELATED COURSES (7 day free trial)
📕 ⭐ Deep Learning Specialization: https://imp.i384100.net/Deep-Learning
📕 Python for Everybody: https://imp.i384100.net/python
📕 MLOps Course: https://imp.i384100.net/MLOps
📕 Natural Language Processing (NLP): https://imp.i384100.net/NLP
📕 Machine Learning in Production: https://imp.i384100.net/MLProduction
📕 Data Science Specialization: https://imp.i384100.net/DataScience
📕 Tensorflow: https://imp.i384100.net/Tensorflow