GitHub - JayWalker512/Babys-First-Reinforcement-Learning: A simplified introduction to reinforcement learning using Markov Decision Processes.

Baby's First Reinforcement Learning

This was my final project for my "Intro to Data Science" course at Temple University. For full details about this project, please read the paper.

You run the Baby's First Reinforcement Learning Jupyter Notebook to see the interesting stuff. The easiest way to do this is from an Anaconda3 environment with PyTorch installed.

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
BabysFirstReinforcementLearning.ipynb		BabysFirstReinforcementLearning.ipynb
BabysFirstReinforcementLearningPaper.pdf		BabysFirstReinforcementLearningPaper.pdf
BabysFirstReinforcementLearningPresentation.pdf		BabysFirstReinforcementLearningPresentation.pdf
BrandonFoltzProjectProposal3715.pdf		BrandonFoltzProjectProposal3715.pdf
README.md		README.md
environment.py		environment.py
markov_decision_process.py		markov_decision_process.py
progress_bar.py		progress_bar.py