Multi-agent reinforcement learning programs based on Game theory
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Updated
Feb 11, 2023 - Python
Multi-agent reinforcement learning programs based on Game theory
AI algorithm that plays Texas hold 'em poker (part of university research in imperfect information games)
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An Implementation of Red-Blue Hackenbush for Mobile Devices.
Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).
This repository contains the code to reproduce the results presented in the paper BILP-Q: Quantum Coalition Structure Generation
Code and materials for the paper S. Phelps and Y. I. Russell, Investigating Emergent Goal-Like Behaviour in Large Language Models Using Experimental Economics, working paper, arXiv:2305.07970, May 2023
Console Implementation of ancient game Nine Men's Morris in python, with minimax algorithm and alpha-beta pruning
A package to initiate and apply various solution methods to cooperative transferable utility games.
Official Implementation of STLGame (L4DC'25)
Homework and exercises from course Network Dynamics and Learning - PoliTo
This repository contains tools and programs used to conduct research into the emergence of cooperation in artificial social networks.
Bachelor Thesis on "Evaluating regrets while joining a community - A Novel Community Detection in Large Networks using Game Theory."
This project simulates the Prisoner's Dilemma using various strategies in Python, focusing on a novel Self-Preservation + Tit for Tat approach.
might not be the shortest but descriptive and easy for newcomers too.
This is a simulation of basic game theory principles in Python
A simulation of competitive online market dynamics using game theory and social influence models.
A Social Game developed using SGS where cells interact with each other using messages.
A Social Game System with players and their interaction through messages enabling simulation of different Game Theory Strategies
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