Reinforcement learning approach to the prisoner's dilemma, based on Q learning
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Updated
Dec 1, 2017 - Python
Reinforcement learning approach to the prisoner's dilemma, based on Q learning
A Prisoner's Dilemma Tournament Simulation
Prisoner's Dilemma research environment.
All about Iterated Prisoner's Dilemma. Python code and jupyter notebooks. See how to build new strategies and evaluate them.
Axelrod's Iterated Prisoners' Dilemma contests
WarGames - An Analysis of Emergent Properties of Information Processing Systems Operating in Complex Environments.
A tool to analyze strategies for the Iterated Prisoner's Dilemma
Lacan's Prisoner's Dilemma Done VIsually and Linearly
Experiment designed, implemented and performed in WadRas prison during the performance Veus entre Murs.
The prisoner's dilemma in python
package to run evolutionary prisoner's dilemmas with heterogeneous actors
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.
A prisoner's dilemma agent based model simulation for investigating effects of differing strategies on emergent behaviours and spatial patterns with configurable environments.
Exploring genetic algorithms for the Prisoner's Dilemma
Iterative Prisoner Dilemma - Tournament of 20+ classic strategies and an ML player built with DQN
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