Chutes and Ladders
Simulated via Monte Carlo and Markov chains
This is my for-fun implementation of Nick Berry's simulations of Chutes and Ladders to explain the Monte Carlo and Markov chain methods.
This is very basic at the moment. I may make it nicer or just use this Python code as backend for a different visualization.
License statement: Feel free to play with this code and use it for what ever you'd like.
Both simulations require numpy and optionally matplotlib.
The todo list includes:
- Code for parallel runs of the Monte Carlo simulation. Possibly via the picloud local library.
- Clean up the plotting of the game boards in the Markov chain version.
- Overall nicer plotting. It's just basic enough to verify results at this stage.