A custom reinfrocement learning environment for OpenAI Gym & PettingZoo that implements various Stag Hunt-like social dilemma games.

An OpenAI gym multi-agent environment implementing the Commons Game proposed in "A multi-agent reinforcement learning model of common-pool resource appropriation"

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

Multi-Agent Reinforcement Learning Environment

Participatory experiment, performed in the Biennal Ciutat i Ciència (Barcelona) and the citizen science festival Calidoscopi (Barcelona), that consist on a set of dilemmas to study how we behave in front of a situation of gender-based violence in public spaces. Natalia, Alex, Raquel and Sandra tell us situations lived in public spaces and partic…

Participatory experiment during the open ceremony in FestivalTarrega with a set of games formed by Prisoner's Dilemma, Snowdrift Game and Dictator's Game

Proximal Policy Optimization algorithm applied to the Harvest Game, a multi-agent environment

This fork adds multi-agent social dilemma environments in Gym: CoinGame, (Iterated) Prisonner Dilemma, Stag Hunt, Chicken, Matching Pennies. Gym: A toolkit for developing and comparing reinforcement learning algorithms.

A minimalist multi-agent implementation of the social dilemma problem with governance kernels