AReS: Adaptive Reachable Set Learning

Prerequisite

• Python version: 3.9 or above
• Conda: Make sure conda is installed on your system. You can download it from Miniconda or Anaconda.

Installation Guide

Step 1: Clone the Repository

Clone this repository to your local machine:

git clone https://github.com/your-repo/AReS.git
cd AReS

Step 2: Create a Conda Environment

Create and activate a new Conda environment:

conda create -n ares_env python=3.9
conda activate ares_env

Step 3: Install Required Libraries

Install all required libraries using the requirements.txt file:

pip install -r requirements.txt

AReS Simulation

Step 1: Run the Simulation

Execute the simulation code with the desired experiment name

python srcs/sim_from_data.py --exp_name [exp_name]

Step 2: Visualize the Results

Generate and save plots for the simulation results

python plots/plot_next_state_pred.py --dafa_fn "output/[exp_name]/data.pk" --baseline_data_fn "output/baseline/data.pk" --fig_root "plots/[foleder_name]"