liuhh02 / game-theory-coursera
Lecture Slides, Notes and Problem Set Answers to the Game Theory course on Coursera by Stanford University and The University of British Columbia
☆72Updated 4 years ago
Alternatives and similar repositories for game-theory-coursera:
Users that are interested in game-theory-coursera are comparing it to the libraries listed below
- Some lecture notes of Operations Research (usually taught in Junior year of BS) can be found in this repository along with some Python pr…☆136Updated 6 years ago
- Work from class 15.095 Machine Learning Under a Modern Optimization Lens at MIT taught by Dimitris Bertsimas and Martin Copenhaver☆40Updated 6 years ago
- Implementations of Coursera Reinforcement Learning Specialization☆42Updated 5 years ago
- Game Theory Cheat Sheet☆349Updated last year
- Deep Reinforcement Learning with Python, Second Edition, published by Packt☆190Updated 2 years ago
- PRML notes, proofs and algorithms implemented in Python☆37Updated 7 months ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆85Updated 2 years ago
- Machine learning, artificial intelligence, and data analytics built from scratch.☆57Updated 2 years ago
- 🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques☆79Updated 6 years ago
- 🐲 Stanford CS234 : Reinforcement Learning☆24Updated 5 years ago
- Solutions for assignments of the Coursera course "Discrete Optimization"☆52Updated last year
- My solutions to Stanford CS221 (Artificial Intelligence) homework code problems☆27Updated 5 years ago
- Reinforcement Learning Algorithms with Python, Published by Packt☆183Updated 2 years ago
- [Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"☆234Updated 5 years ago
- Website for a doctoral course on Dynamic Optimization☆19Updated last year
- ☆30Updated 6 months ago
- Coursera-Fundamentals of Reinforcement Learning Specialization.☆14Updated 11 months ago
- Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book☆19Updated 3 years ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆271Updated 2 years ago
- This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis …☆49Updated 6 years ago
- Stanford CS234 : Reinforcement Learning☆143Updated 5 years ago
- ☆95Updated 4 years ago
- CS229 Solution (summer 2019, 2020).☆13Updated last year
- ☆78Updated 4 years ago
- Beginner Python course from Harvard University on edX☆48Updated 5 years ago
- Solutions to Tim Roughgarden's Algorithmic Game Theory course exercises and problems☆73Updated last year
- ☆222Updated 2 years ago
- Code Listings for the book: Optimization Algorithms. Manning Publications, 2024.☆109Updated last month
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆53Updated 4 years ago
- MATLAB implementation of all the Operations Research algorithms and problems solved by me.☆31Updated 4 years ago