October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Loading the game environment
Just like we loaded the game in the DQN segment, we will load the game into the workspace and set seed for reproducibility:
env = gym.make('CartPole-v1')# set seed seed_val = 456env.seed(seed_val)np.random.seed(seed_val)states = env.observation_space.shape[0]actions = env.action_space.n
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