Text Generation, Object Detection, Reinforcement Learning, Machine Learning, Artificial Intelligence.
target_f = model.predict(np.array([state])) target_f[0][action] = target model.fit(np.array([state]), target_f, epochs=1, verbose=0) state = next_state # Evaluate the trained agent total_reward = 0 episodes_to_evaluate = 10 for episode in range(episodes_to_evaluate): state = env.reset() done =