https://github.com/quantecon/game-theory-notebooks
A collection of game theory notebooks
https://github.com/quantecon/game-theory-notebooks
Last synced: 11 months ago
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A collection of game theory notebooks
- Host: GitHub
- URL: https://github.com/quantecon/game-theory-notebooks
- Owner: QuantEcon
- License: bsd-3-clause
- Created: 2020-03-23T03:37:26.000Z (about 6 years ago)
- Default Branch: main
- Last Pushed: 2023-04-23T14:22:27.000Z (about 3 years ago)
- Last Synced: 2025-06-29T09:39:17.356Z (11 months ago)
- Language: Jupyter Notebook
- Size: 32 MB
- Stars: 21
- Watchers: 6
- Forks: 8
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# game-theory-notebooks
A collection of game theory notebooks
[View notebooks at nbviewer](https://nbviewer.jupyter.org/github/QuantEcon/game-theory-notebooks/)
## Getting started
* [Tools for Game Theory in QuantEcon.py](https://nbviewer.jupyter.org/github/QuantEcon/game-theory-notebooks/blob/main/game_theory_py.ipynb)
[](https://mybinder.org/v2/gh/QuantEcon/game-theory-notebooks/main?labpath=game_theory_py.ipynb)
* [Tools for Game Theory in GameTheory.jl](https://nbviewer.jupyter.org/github/QuantEcon/game-theory-notebooks/blob/main/game_theory_jl.ipynb)
[](https://mybinder.org/v2/gh/QuantEcon/game-theory-notebooks/main?labpath=game_theory_jl.ipynb)
## Learning/evolutionary dynamics
* Best Response Dynamics
[[Python](https://nbviewer.org/github/QuantEcon/game-theory-notebooks/blob/main/brd_py.ipynb)
[](https://mybinder.org/v2/gh/QuantEcon/game-theory-notebooks/main?labpath=brd_py.ipynb)]
[[Julia](https://nbviewer.org/github/QuantEcon/game-theory-notebooks/blob/main/brd_jl.ipynb)
[](https://mybinder.org/v2/gh/QuantEcon/game-theory-notebooks/main?labpath=brd_jl.ipynb)]
* Fictitous Play
[[Python](https://nbviewer.org/github/QuantEcon/game-theory-notebooks/blob/main/fictplay_py.ipynb)
[](https://mybinder.org/v2/gh/QuantEcon/game-theory-notebooks/main?labpath=fictplay_py.ipynb)]
[[Julia](https://nbviewer.org/github/QuantEcon/game-theory-notebooks/blob/main/fictplay_jl.ipynb)
[](https://mybinder.org/v2/gh/QuantEcon/game-theory-notebooks/main?labpath=fictplay_jl.ipynb)]
* Local Interaction
[[Python](https://nbviewer.org/github/QuantEcon/game-theory-notebooks/blob/main/localint_py.ipynb)
[](https://mybinder.org/v2/gh/QuantEcon/game-theory-notebooks/main?labpath=localint_py.ipynb)]
[[Julia](https://nbviewer.org/github/QuantEcon/game-theory-notebooks/blob/main/localint_jl.ipynb)
[](https://mybinder.org/v2/gh/QuantEcon/game-theory-notebooks/main?labpath=localint_jl.ipynb)]
* Logit Response Dynamics
[[Python](https://nbviewer.org/github/QuantEcon/game-theory-notebooks/blob/main/logitdyn_py.ipynb)
[](https://mybinder.org/v2/gh/QuantEcon/game-theory-notebooks/main?labpath=logitdyn_py.ipynb)]
[[Julia](https://nbviewer.org/github/QuantEcon/game-theory-notebooks/blob/main/logitdyn_jl.ipynb)
[](https://mybinder.org/v2/gh/QuantEcon/game-theory-notebooks/main?labpath=logitdyn_jl.ipynb)]
## Repeated games
* [Abreu-Sannikov Algorithm for Repeated Two-player Games](https://nbviewer.jupyter.org/github/QuantEcon/game-theory-notebooks/blob/main/as_py.ipynb)
[](https://mybinder.org/v2/gh/QuantEcon/game-theory-notebooks/main?labpath=as_py.ipynb)