Python Config.load_model Examples

Example #1

from ExperienceReplay import ExperienceReplay
from Utility import Utility
from Utility import Config

env = gym.make('GazeboTurtlebotMazeColor-v0')

observation = env.reset

#set parameter
config = Config()
config.path = "./DQN_maze_target_v9"
if not os.path.exists(config.path):
    os.makedirs(config.path)
config.loadOldFile()
config.saveOldFile()
config.load_model = False
config.pre_train_step = 1000
config.epsilon_decay = 1.0 / 1000
config.gamma = 0.99

network = Qnetwork(env.num_state, env.num_action)
replay = ExperienceReplay(config.path)

utility = Utility(config.path + config.reward_file,
                  config.path + config.step_file)

######load data#######
start_time = time.time()
if config.load_model == True:
    print('loading model....')
    if (os.path.isfile(config.path + "/model.h5")):

Example #2

File: DeepQlearningWithEgreedy.py Project: DafangWang/Gym-Gazebo

env = gym.make('GazeboTurtlebotMazeColor-v0')

observation = env.reset




#set parameter 
config = Config()
config.path = "./DQN_maze_target_v9"
if not os.path.exists(config.path):
    os.makedirs(config.path)
config.loadOldFile()
config.saveOldFile()
config.load_model = True
config.pre_train_step = 1000
config.epsilon_decay = 1.0/1000
config.gamma = 0.99

network = Qnetwork(env.num_state, env.num_action)
replay = ExperienceReplay(config.path)

utility = Utility(config.path + config.reward_file, config.path + config.step_file)



######load data#######
start_time = time.time()
if config.load_model == True:
    print('loading model....')