Group Project Setup Guide

Project Content

• Gymnasium v1.2.2
• Part1 Sample Code
• Part2 Sample Code
• Part3 Sample Code

Installation

# 1. Create a virtual environment
python -m venv .venv

# 2. Activate the virtual environment
source .venv/bin/activate

# 3. Navigate to the Gymnasium directory
cd group_project/Gymnasium

# 4. Install Gymnasium in editable mode
pip install -e .

# 5. Install additional dependencies
pip install "gymnasium[classic_control]"
pip install matplotlib

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✅ Verification

Run the following command to verify that the installation is successful:

% pip list

Sample Output from MacOS:

Package              Version Editable project location
-------------------- ------- --------------------------------------------
cloudpickle          3.1.2
Farama-Notifications 0.0.4
gymnasium            1.2.2   ./group_project/Gymnasium
numpy                2.3.5
pip                  24.3.1
typing_extensions    4.15.0

If your output matches the above (or is similar), your environment is correctly configured.

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🚀 Running the Project

Part 1: Mountain Car

Train and test the reinforcement learning agent:

# Train the agent
python mountain_car.py --train --episodes 5000

# Render and visualize performance
python mountain_car.py --render --episodes 10

Part 2: Frozen Lake

Run the Frozen Lake environment:

python frozen_lake.py

Part 3: OOP Project Environment

Execute the custom OOP environment:

python oop_project_env.py

Tip:
If you’re on Windows, replace

source .venv/bin/activate

with

.venv\Scripts\activate