As weI know that weI 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 pythonPython PyTorch scriptscripts into .onnx.onnx format to use it in Unreal Engine (C++), but there is no documentation I found on "howhow to use .onnx file.onnx files in UE5 or 4?".
I am trying to build a model for a basic explore and exploitation task. A character will be there on the floor and an object will be there. CharacterThe 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..............