Train_SAC.py File Reference

Go to the source code of this file.

Namespaces
namespace	Train_SAC

Variables
	Train_SAC.model_path = os.path.join('Training', 'Saved Models', 'SAC_model')
	Train_SAC.log_path = os.path.join('Training', 'Logs')
	Train_SAC.env = DroneRobot()
	Train_SAC.target_location
	Train_SAC.debugMode
int	Train_SAC.episodes = 1000
int	Train_SAC.timesteps = env.steps_per_episode * episodes
	Train_SAC.model = SAC("MlpPolicy", env, verbose=1, device='cuda', tensorboard_log=log_path)
	Train_SAC.total_timesteps
	Train_SAC.log_interval
	Train_SAC.path