A 2D drone swarm simulation which exposes controls of the drone, enabling Multi-Agent Reinforcement Learning (MARL) techniques for optimal path planning to cover the entire grid cells.
$ python run_env.py --num_drones 5 --num_anomalous_cells 50 --row_count 15 --col_count 15