Artificial Intelligence, Machine Learning, Data Science, Reinforcement Learning, OpenAI.
this later in the post Next, let’s define our gym environment env = gym.make('MountainCar-v0') input_shape = env.observation_space.shape[0] num_actions = env.action_space.n As mentioned earlier, sample space is an array with 2 elements and num_actions=3 It’s time we define our DQN value_network =