As we know that we can use ONNX plugins to use pretrained Deep Learning models in the Unreal Engine 5 like style transfer, object detection.... etc.

I want to build a basic reinforcement learning project and would be happy to code it from scratch like a q-learning algorithm, but I am finding it is quit difficult to do that. I saw that we can convert python PyTorch script into .onnx format to use it in Unreal Engine (C++), but there is no documentation I found on "how to use .onnx file in UE5 or 4?".

I am trying to build a model for basic explore and exploitation task. A character will be there on the floor and an object will be there. Character has to find a path on the floor to reach the object (terminal state).

Looking forward for your comments on it. Any idea would be helpful..............