本文整理汇总了Python中baselines.deepq.load方法的典型用法代码示例。如果您正苦于以下问题：Python deepq.load方法的具体用法？Python deepq.load怎么用？Python deepq.load使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类baselines.deepq的用法示例。
在下文中一共展示了deepq.load方法的10个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from baselines import deepq [as 别名]
# 或者: from baselines.deepq import load [as 别名]
def main():
env = KukaGymEnv(renders=True, isDiscrete=True)
act = deepq.load("kuka_model.pkl")
print(act)
while True:
obs, done = env.reset(), False
print("===================================")
print("obs")
print(obs)
episode_rew = 0
while not done:
env.render()
obs, rew, done, _ = env.step(act(obs[None])[0])
episode_rew += rew
print("Episode reward", episode_rew) 示例2: main
# 需要导入模块: from baselines import deepq [as 别名]
# 或者: from baselines.deepq import load [as 别名]
def main():
env = RacecarZEDGymEnv(renders=True)
act = deepq.load("racecar_zed_model.pkl")
print(act)
while True:
obs, done = env.reset(), False
print("===================================")
print("obs")
print(obs)
episode_rew = 0
while not done:
env.render()
obs, rew, done, _ = env.step(act(obs[None])[0])
episode_rew += rew
print("Episode reward", episode_rew) 示例3: main
# 需要导入模块: from baselines import deepq [as 别名]
# 或者: from baselines.deepq import load [as 别名]
def main():
env = RacecarGymEnv(renders=True,isDiscrete=True)
act = deepq.load("racecar_model.pkl")
print(act)
while True:
obs, done = env.reset(), False
print("===================================")
print("obs")
print(obs)
episode_rew = 0
while not done:
env.render()
obs, rew, done, _ = env.step(act(obs[None])[0])
episode_rew += rew
print("Episode reward", episode_rew) 示例4: main
# 需要导入模块: from baselines import deepq [as 别名]
# 或者: from baselines.deepq import load [as 别名]
def main():
env = gym.make('CartPoleBulletEnv-v0')
act = deepq.load("cartpole_model.pkl")
while True:
obs, done = env.reset(), False
print("obs")
print(obs)
print("type(obs)")
print(type(obs))
episode_rew = 0
while not done:
env.render()
o = obs[None]
aa = act(o)
a = aa[0]
obs, rew, done, _ = env.step(a)
episode_rew += rew
print("Episode reward", episode_rew) 示例5: main
# 需要导入模块: from baselines import deepq [as 别名]
# 或者: from baselines.deepq import load [as 别名]
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--env', help='environment ID', default='SuperMarioBros-Nes')
parser.add_argument('--gamestate', help='game state to load', default='Level1-1')
parser.add_argument('--model', help='model pickle file from ActWrapper.save', default='model.pkl')
args = parser.parse_args()
env = retro_wrappers.make_retro(game=args.env, state=args.gamestate, max_episode_steps=None)
env = retro_wrappers.wrap_deepmind_retro(env)
act = deepq.load(args.model)
while True:
obs, done = env.reset(), False
episode_rew = 0
while not done:
env.render()
action = act(obs[None])[0]
env_action = np.zeros(env.action_space.n)
env_action[action] = 1
obs, rew, done, _ = env.step(env_action)
episode_rew += rew
print('Episode reward', episode_rew) 示例6: main
# 需要导入模块: from baselines import deepq [as 别名]
# 或者: from baselines.deepq import load [as 别名]
def main():
env = gym.make("CartPole-v0")
act = deepq.load("cartpole_model.pkl")
while True:
obs, done = env.reset(), False
episode_rew = 0
while not done:
env.render()
obs, rew, done, _ = env.step(act(obs[None])[0])
episode_rew += rew
print("Episode reward", episode_rew) 示例7: main
# 需要导入模块: from baselines import deepq [as 别名]
# 或者: from baselines.deepq import load [as 别名]
def main():
env = gym.make("MountainCar-v0")
act = deepq.load("mountaincar_model.pkl")
while True:
obs, done = env.reset(), False
episode_rew = 0
while not done:
env.render()
obs, rew, done, _ = env.step(act(obs[None])[0])
episode_rew += rew
print("Episode reward", episode_rew) 示例8: main
# 需要导入模块: from baselines import deepq [as 别名]
# 或者: from baselines.deepq import load [as 别名]
def main():
env = gym.make("PongNoFrameskip-v4")
env = deepq.wrap_atari_dqn(env)
act = deepq.load("pong_model.pkl")
while True:
obs, done = env.reset(), False
episode_rew = 0
while not done:
env.render()
obs, rew, done, _ = env.step(act(obs[None])[0])
episode_rew += rew
print("Episode reward", episode_rew) 示例9: main
# 需要导入模块: from baselines import deepq [as 别名]
# 或者: from baselines.deepq import load [as 别名]
def main():
env = gym.make("PongNoFrameskip-v4")
env = ScaledFloatFrame(wrap_dqn(env))
act = deepq.load("pong_model.pkl")
while True:
obs, done = env.reset(), False
episode_rew = 0
while not done:
env.render()
obs, rew, done, _ = env.step(act(obs[None])[0])
episode_rew += rew
print("Episode reward", episode_rew) 示例10: load_weights
# 需要导入模块: from baselines import deepq [as 别名]
# 或者: from baselines.deepq import load [as 别名]
def load_weights(self, load_file):
self.agent = deepq.load(load_file)