Reinforcement Learning with ML Agents - Part 1/? - Unity, C#, Prompt Engineering, Git

This project will be to simulate a warehouse environment with the aims of training a series of agents. One agent in charge of navigating the warehouse effectively, another agent in charge of stacking boxes on the pallet optimally, and another agent in charge of utilizing the trained agents to manage the location of items in the warehouse.

As this is a larger project for an individual with limited time, I will be breaking the project into manageable chunks.

The first part of the project was to create the simulated environment to train the navigation agent.

Full Project as I understand it now:

• Preliminary Game Environment
• Train Navigation with draft environment.
• Reconfigure Environment for Box Stacking
• Train Stacking Agent
• Train Warehouse Profiler agent to optimally place the items in the correct slots for effecient movement.