Deep Reinforcement Learning for Mobile Robot Path Planing

This repository contains the implementation of a reinforcement learning model for a robot control environment as part of an academic project.

Repository Contents

• checkRobotEnv.py - Script to check the robot environment.
• inferenceRobot.py - Script for running inference using the trained model.
• loadModel.py - Utility for loading the trained model.
• robotEnv.py - Defines the robot environment.
• trainerRobot.py - Script for training the model.
• trainerRobotRender.py - Script for rendering the training process.