This repository is a work in progress.
This repository will provide supplementary material for the following books:
- Sutton's Reinforcement Learning Second Edition
- Dimitri Bertsekas' Reinforcement Learning and Optimal Control
- Blackwell's Theory of Games and Statistical Decisions
We will go through some of the examples and excercises in the books and will write a Python code for solving those.
For the books on Reinforcement Learning we will discuss and go through the following RL packages - PyQLearning, keras-rl, tensorforce, RL Coach, RLib.
For Game Theory we will discuss and go through the following packages: NashPy and Gambit.
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Statistical Learning, Kernel Methods, Kolmogorov-Arnold Networks
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Image Processing and Computer Vision: Techniques and Algorithms
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Deep Learning for solving Image Processing problems and Generative Tasks
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Hypothesis Testing, Estimation of Treatment Effects and Generalized Synthetic Control
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Queueing Networks, Queueing Theory, Reversible Stochastic Processes
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Spectral Analysis, Optimization in Spectral Domain, Spectral Domain Modeling
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Computability, Automata, Logic Systems, Formal Grammars and Theory of Parsing
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Thought Forming, Consciousness, Intelligent Machines, Semantic Inference
This repository uses git Large File Storage feature. In order to download locally the large files (> 1MB) which are maintained by git LFS you will need to install the Git extension for versioning large files: https://git-lfs.com/