kyegomez/OpioidRL
OpioidRL is a cutting-edge reinforcement learning (RL) library that simulates drug addiction behaviors within RL agents. Inspired by the addictive properties of drugs like methamphetamine and crack cocaine, OpioidRL offers a unique environment where agents experience reward dependency, high-risk decision-making, and compulsive behaviors — pushing
This library helps researchers and scientists explore the complex dynamics of drug addiction by simulating addictive behaviors in artificial intelligence agents. It takes in various parameters to model different drug types like methamphetamine and crack cocaine, outputting agent behaviors that mimic reward dependency, high-risk decision-making, and compulsive actions. It's designed for computational neuroscience researchers, behavioral psychologists, and AI ethicists studying addiction models.
Available on PyPI.
Use this if you need to computationally model and study the behavioral patterns associated with drug addiction within a controlled simulation environment.
Not ideal if you are looking for a clinical diagnostic tool or a solution for real-world addiction treatment, as it is purely for research simulation.
Stars
8
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Dependencies
7
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