OpioidRL
Description
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
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
[](https://discord.com/servers/agora-999382051935506503)
Opioid RL
[](https://discord.gg/agora-999382051935506503) [](https://www.youtube.com/@kyegomez3242) [](https://www.linkedin.com/in/kye-g-38759a207/) [](https://x.com/kyegomezb)
**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 RL research into new and provocative territories.
Features
- Meth Simulation: Models the erratic and compulsive high-risk behaviors typically seen in methamphetamine addiction.
- Crack Simulation: Models the short-term, intense craving for rewards, leading to aggressive reward-seeking behaviors.
- Customizable Reward Loops: Easily adjust the reinforcement pathways to mimic varying levels of addiction, from mild dependency to extreme compulsion.
- Addiction Dynamics: Introduces tolerance, withdrawal, and relapse phenomena, simulating real-world addiction cycles.
- Compatible with Any RL Framework: Easily integrate OpioidRL with popular RL frameworks like PyTorch, TensorFlow, and Stable Baselines3.
Installation
You can install OpioidRL using `pip`:
pip install opioidrlQuick Start
Below is a simple example of how to integra
Related Skills
Auto Update
Pull the latest ECC repo changes and reinstall the current managed targets.
Ecc Guide
Navigate ECC's current agents, skills, commands, hooks, install profiles, and docs from the live repository su
Epic Claim
Claim an epic issue, stamp coordination state, and sync local ownership.
Epic Publish
Publish a validated epic update back to the issue and local cache.
Epic Review
Mark epic review requested, approved, or changes requested.
Epic Unblock
Sweep blocked epic issues and reopen anything whose dependencies are closed.