reinforcement_learning_and_game_theory

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reinforcement_learning_and_game_theory

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Collection of materials and code samples on reinforcement learning / optimal control and game theory

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# Reinforcement Learning and Game Theory

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](https://pypi.org/project/pyqlearning/), [keras-rl](https://github.com/keras-rl/keras-rl), [tensorforce](https://github.com/tensorforce/tensorforce), [RL Coach](https://github.com/IntelLabs/coach), [RLib](https://docs.ray.io/en/latest/rllib/index.html).

For Game Theory we will discuss and go through the following packages: [NashPy](https://nashpy.readthedocs.io/en/stable/) and [Gambit](http://www.gambit-project.org/gambit15/pyapi.html).

## Selected Topics in Machine Learning
 
 * [Reinforcement Learning and Game Theory](https://github.com/dimitarpg13/reinforcement_learning_and_game_theory/blob/main/ReinforcementLearningAndGameTheoryResources.md)

* [Offline Reinforcement and Self-Supervised Learning](https://github.com/dimitarpg13/self_supervised_learning/blob/main/SelfSupervisedLearningResources.md)

* [NLP Concepts](https://github.com/dimitarpg13/nlp_concepts/blob/main/NLPResources.md)
 
 * [Transformers](https://github.com/dimitarpg13/transformers_intro/blob/main/TransformersResources.md)
 
 * [Large Language Models](https://github.com/dimitarpg13/large_language_models/blob/main/LargeLanguageModelsResources.md)

* [Bayesian Networks](https://github.com/dimitarpg13/learning_bayesian_networks/blob/main/LearningBayesianNetworksResources.md)
 
 * [Probabilistic Machine Learning and Bayesian Methods](https://github.com/dimitarpg13/probabilistic_machine_learning/blob/main/ProbabilisticMachineLearningResources.md)

* [Statistical Learning, Kernel Methods, Kolmogorov-Arnold Networks](https://github.com/dimitarpg13/statistical_learning_and_kernel_methods/blob/main/Resources.md)

* [Optimization, Classification, Regression](https://github.com/dimitarpg13/optimization_classification_regression/blob/main/Resources.md)
 
 * [Causal Inference, Root Cause Analysis and Model Checking](https://github.com/dimitarpg13/root_cause_analysis_and_model_checking/blob/main/RootCauseAnalysisResources.md)

* [Image Processing and Computer Vision: Techniques and Algorithms](https://github.com/dimitarpg13/image_processing/blob/main/Resources.md)

* [Deep Learning and Neural Networks](https://github.com/dimitarpg13/deep_learning_and_neural_networks/blob/main/Resources.md)

* [Geometric Deep Learning](https://github.com/dimitarpg13/geometric_deep_learning/blob/main/Resources.md)

* [Deep Learning for solving Image Processing problems and Generative Tasks](https://github.com/dimitarpg13/deep_learning_for_image_processing/blob/main/Resources.md)

* [Deep Learning Models for Time Series Forecasting problems](https://github.com/dimitarpg13/deep_learning_for_time_series_forecasting/blob/main/Resources.md)

* [Deep Learning Models for Dynamical System Analysis](https://github.com/dimitarpg13/deep_learning_for_dynamical_systems/blob/main/Resources.md)

* [Vector Retrieval Techniques and Algorithms](https://github.com/dimitarpg13/vector_db_intro/blob/main/Resources.md)

* [Retrieval-Augmented Generation Concepts, Architectures and Algorithms](https://github.com/dimitarpg13/rag_architectures_and_concepts/blob/main/Resources.md)

* [Agentic Architectures and Design Patterns](https://github.com/dimitarpg13/agentic_architectures_and_design_patterns/blob/main/Resources.md)

* [Hypothesis Testing, Estimation of Treatment Effects and Generalized Synthetic Control](https://github.com/dimitarpg13/generalized_synthetic_control_for_testops/blob/main/Resources.md)
 
 * [Graphs and Dynamic Programming](https://github.com/dimitarpg13/graphs_and_dynamic_programming/blob/master/Resources.md)

* [Dynamical Systems, State-Space Models, Chaos, Ergodicity](https://github.com/dimitarpg13/dynamical_systems_and_ergodicity/blob/main/Resources.md)

* [Information Theory, Statistical Mechanics, Diffusion Models](https://github.com/dimitarpg13/information_theory_and_statistical_mechanics/blob/main/Resources.md)

* [Queueing Networks, Queueing Theory, Reversible Stochastic Processes](https://github.com/dimitarpg13/queueing_theory/blob/main/Resources.md)

* [Spectral Analysis, Optimization in Spectral Domain, Spectral Domain Modeling](https://github.com/dimitarpg13/spectral_analysis/blob/main/Resources.md)

* [Computability, Automata, Logic Systems, Formal Grammars and Theory of Parsing](https://github.com/dimitarpg13/computability_and_logic_systems/blob/main/Resources.md)

* [Thought Forming, Consciousness, Intelligent Machines, Semantic Inference](https://github.com/dimitarpg13/aiconcepts/blob/master/Resources.md)

## Note

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/

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