Text Generation, Object Detection, Reinforcement Learning, Machine Learning, Artificial Intelligence.
# Train the DQN agent episodes = 1000 for episode in range(episodes): state = env.reset() done = False while not done: action = np.argmax(model.predict(np.array([state]))[0]) next_state, reward, done, _ = env.step(action) target = reward + 0.99 * np.max(model.predict(np.array([next_state]))[0])