Train_SAC Namespace Reference

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

Variable Documentation

debugMode

Train_SAC.debugMode

Definition at line 14 of file Train_SAC.py.

env

Train_SAC.env = DroneRobot()

Definition at line 12 of file Train_SAC.py.

episodes

int Train_SAC.episodes = 1000

Definition at line 16 of file Train_SAC.py.

log_interval

Train_SAC.log_interval

Definition at line 30 of file Train_SAC.py.

log_path

Train_SAC.log_path = os.path.join('Training', 'Logs')

Definition at line 9 of file Train_SAC.py.

model

Train_SAC.model = SAC("MlpPolicy", env, verbose=1, device='cuda', tensorboard_log=log_path)

Definition at line 23 of file Train_SAC.py.

model_path

Train_SAC.model_path = os.path.join('Training', 'Saved Models', 'SAC_model')

Definition at line 8 of file Train_SAC.py.

path

Train_SAC.path

Definition at line 35 of file Train_SAC.py.

target_location

Train_SAC.target_location

Definition at line 13 of file Train_SAC.py.

timesteps

Train_SAC.timesteps = env.steps_per_episode * episodes

Definition at line 17 of file Train_SAC.py.

total_timesteps

Train_SAC.total_timesteps

Definition at line 30 of file Train_SAC.py.