MachineLearning/README.md~ at master · rskuja/MachineLearning · GitHub

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Machine Learning lab. works for University
==========================================

Code written in python2 with numpy

### Lab.1.

	Evaluate and iterate policy in grid with rewards

### Lab.2.

	Monte Carlo algorithm implementation in grid with rewards

### Lab.3.

	Temporal difference algorithms

		On-policy algorithm - "Sarsa"

		Off-policy algorithm - "Q learning"

### Lab.4.

	Genetic algorithm
	[info](http://www.obitko.com/tutorials/genetic-algorithms/index.php)

### Lab.5.

	Naive bayes algorithm
	[info](http://www.autonlab.org/tutorials/naive02.pdf)

### Lab.6.

	Travelling Salesman Problem algorithm in reinforcement learning
	With tour generation and ant colony optimization
	[info](http://www.scholarpedia.org/article/Ant_colony_optimization)

[more info about reinforcement learning](http://www.cse.iitm.ac.in/~cs670/book/the-book.html)