Deep Reinforcement Learning in Unity: With Unity ML Toolkit

© Abhilash Majumder 2021

A. MajumderDeep Reinforcement Learning in Unityhttps://doi.org/10.1007/978-1-4842-6503-1_4

4. Understanding brain agents and academy

Abhilash Majumder¹  

(1)

Pune, Maharashtra, India

 

The brain architecture is an important aspect of the ML Agents Toolkit. In the previous chapter, we installed the ML Agents Toolkit and also learned briefly about this architecture. Internally the ML Agents Toolkit uses three different kinds of brains, with the addition of a player brain that is controlled by the user. We concern ourselves with understanding the inner workings of certain scripts in the ML Agents package, which uses the neural networks trained in Tensorflow in Unity Agents. Since we have tried to get a glimpse of deep Q-learning ...