Update: EDeN Unity engine rendering updates
Work progresses well in developing an entity training environment.
Included in the follow GIF, we see:
- Jeffbot – a representation of test entities where input and output neural probes are attached
- Training environment which spawns different challenges and all essential stimulus, either in the form of food or direct neural inputs
- Neuron renderer: rendering a few hundred neurons just starting to grow from initial conditions.
EDeN Server comes to unity!
EDeN hooks up to Unity!
Both EDeNServer EDeNCore projects previously interfaced to a python runtime through a dll.
With an experimental DLL into the lesser known Unigine engine for the server.
Now with an asynchronous (DLL Internally managed) connection from the EDeNServer, Unity is now fully compatible to host both training and inference of your EDeN entities!
– This something ML Agent through tensor flow (https://github.com/Unity-Technologies/ml-agents) has yet to achieve!
I will producing an experimental package on the unity store in the future!
For now I simply ensure both ‘EDeNServerInterfaceDLL’ and ‘EDeNDataServerNETUnityDLL.dll’ are under a Plugins folder.
This is early days for a commercial product, but I hope to build up demonstrations for all to play with sooner rather than later.