A food foraging environment, multi-agents, with spiking network, where many agents' paramenters (including their neural networks) are evolved.
There are two main environments. One is multiprocess, and uses all available cores in your system. The other one is single core. In most situation multiprocess is what you want. In the multiprocess setup, each agent is spawned on a different process, and the Environment object is taked with syncing them.
You need my library for creating a dashboard in the browser:
pip install git+https://github.com/ValerioB88/browser-dashboard.git
and my fork of BindsNet:
pip install git+https://github.com/ValerioB88/bindsnet.git
plus some standard libraries:
pip install fastapi "uvicorn[standard]" torch pandas numpy sty tqdm dill torchvision pandas
To install you can either:
- run
pip install git+https://github.com/ValerioB88/browser-dashboard.git
OR
- clone/fork the repo, then install in editable mode (do this if you plan to change stuff):
pip -e {cloned folder}
cd EvoSpike_FoodForaging
python -m src.food_foraging_multiprocess.main --gfx
Where --gfx indicates that a browser visualizer is gonna be open. As indicated in the terminal, open localhost:8000 (or whatever port is available), and you should be presented with the graphical interface. The visualization generally makes the simulation much slower, but you can press F on the keyboard to only update the graphics every 100 frames and speed everything up. In any case, if you don't care about the graphics, do not use the --gfx option.