There are 3 repositories under prisoner-dilemma-simulation topic.
All about Iterated Prisoner's Dilemma. Python code and jupyter notebooks. See how to build new strategies and evaluate them.
Prisoner's Dilemma research environment.
Reinforcement learning approach to the prisoner's dilemma, based on Q learning
Prisoner's dilemma simulator including genetic algorithms for strategy evolution and a spatial variant of the iterated prisoner's dilemma game
A prisoner's dilemma game simulation in Clojure
This is a model plugin for Evoplex. It implements the spatial prisoner's dilemma game proposed by Nowak, M. A., & May, R. M. (1992). Evolutionary games and spatial chaos. Nature, 359(6398), 826.
This is the repository for my 20 credit project during my final year at cardiff university. The project involves researching the best responses to strategies in the Iterated Prisoners Dilemma.
A prisoner's dilemma agent based model simulation for investigating effects of differing strategies on emergent behaviours and spatial patterns with configurable environments.
Finds optimal strategies for sequential symmetric games using a genetic algorithm
Recreation of the prisoner's dilemma model from Axelrod's "Evolution of Cooperation" in Python
A tool to analyze strategies for the Iterated Prisoner's Dilemma
Prisoner's-Dilemma-Tournament-Mode
The prisoner's dilemma in python
Simulator for the classical prisoner dilemma game.
Iterative Prisoner Dilemma - Tournament of 20+ classic strategies and an ML player built with DQN in Javascript
Iterative Prisoner Dilemma - Tournament of 20+ classic strategies and an ML player built with DQN
An implementation of iterative prisoner dilemma with reinforcement learning via q_table (NOT DQN) in Python with around 30 strategies
Implements several strategies and the overall tournament functions
This was a simulation of the Prison Break Riddle by Veritasium. made for my AP CSA Class.
This program simulates and quantifies outcomes of parameterized prisoner’s dilemma simulation in various MAS networks. This is the third lab in the series of 3 lab projects designed to introduce Multi-Agent Systems (MAS) as a base for Machine Learning.
simulation of the dilemma pf prisonner using vba excel