A natural ecosystem simulator for reinforcement learning agents.
The environment is defined by a discrete space conformed by the positions in a nxn grid, so the movement of the agents is limited to up,down,left and right.
In the reinforcement learning context, this is a partially observed environment, because each agent can only see in its own observation range, represented by the red squares.
pip install -r requirements.txt
execute test_env.py
At the moment there is no traning (to be implemented), agents just move randomly.