Implementing and Training a Reinforcement Learning Agent using OpenAI Gym

Description

This project focuses on implementing and training a reinforcement learning agent using OpenAI Gym. It explores how agents can autonomously learn and improve their performance in a simulated environment. Additionally, it helped me understand the potential applications of reinforcement learning in automating DevOps tasks and enhancing security measures.

Utilities Used

• Python
• OpenAI Gym
• NumPy
• Matplotlib
• Google Colab

Project Walk-through

OpenAI Gym Environment Setup and Agent Initialization


Train the RL Agent


Evaluate the Trained Agent