Artificial Intelligence, Machine Learning, Data Science, Reinforcement Learning, OpenAI.
loss function used is a mean-squared error. Declaring a few constants num_episodes = 1000 epsilon = 1 gamma = 0.9 state = env.reset() batch = 200 replay = deque(maxlen=2000) epoch = 0 alpha = 0.1 Training loop for episode in range(num_episodes): state = env.reset() # Run the episode while True: