stable

How to Tutorials

How to: Machine Learning
- Supervised Learning
- Unsupervised Learning
  - k-means

How to: Reinforcement Learning
- Introduction
- Value Iteration

Advanced Applications

Advanced: Machine Learning
Advanced: Reinforcement Learning

Theories

Regression
Classification

Appendix

A: Linear Algebra
B: Vector and Matrix Identities
C: Vector and Matrix Calculus

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Advanced: Reinforcement Learning
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Advanced: Reinforcement Learning¶

Building on the How to: Reinforcement Learning series, we delve deeper into Reinforcement Learning replicating a few papers in advanced topics.

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