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.

An implementation of iterative prisoner dilemma with reinforcement learning via q_table (NOT DQN) in Python with around 30 strategies

Simulator for the classical prisoner dilemma game.

Exploring genetic algorithms for the Prisoner's Dilemma

Experiment designed, implemented and performed in WadRas prison during the performance Veus entre Murs.

Iterative Prisoner Dilemma - Tournament of 20+ classic strategies and an ML player built with DQN

The prisoner's dilemma in python

Dome Duke

Iterative Prisoner Dilemma - Tournament of 20+ classic strategies and an ML player built with DQN in Javascript

Game Theory Simulation

A Prisoner's Dilemma Tournament Simulation

package to run evolutionary prisoner's dilemmas with heterogeneous actors

Carykh's tournament

C programing test file

Adaptive and Learning Agents Module Open Asessment

Prisoner's-Dilemma-Tournament-Mode

Lacan's Prisoner's Dilemma Done VIsually and Linearly