# Simion Zoo: A Workbench for Distributed Experimentation with Reinforcement Learning for Continuous Control Tasks

## TL;DR

Simion Zoo is a comprehensive RL workbench with an easy GUI, support for distributed execution including GPUs, and tools for exploring RL hyperparameters to facilitate continuous control task experimentation.

## Contribution

It introduces a user-friendly RL experimentation platform supporting distributed computing and hyperparameter exploration, enhancing research efficiency.

## Key findings

- Supports distributed RL experiments with GPUs
- Enables concurrent hyperparameter tuning
- Provides statistical and visual analysis tools

## Abstract

We present Simion Zoo, a Reinforcement Learning (RL) workbench that provides a complete set of tools to design, run, and analyze the results,both statistically and visually, of RL control applications. The main features that set apart Simion Zoo from similar software packages are its easy-to-use GUI, its support for distributed execution including deployment over graphics processing units (GPUs) , and the possibility to explore concurrently the RL metaparameter space, which is key to successful RL experimentation.