A uav navigation simulator in large-scale complex environments. The environment is created for the paper titled 'Deep Reinforcement Learning-based Autonomous UAV Navigation with Sparse Rewards'.
To install the environment, run:
cd gym-uav
pip install -e .
To test the environment, run:
cd gym-uav
python -m gym_uav.envs.uav_env