Artificial Intelligence, Machine Learning, Data Science, Reinforcement Learning, OpenAI.
replay.append((state,action,reward,next_state,done)) state = next_state if done: break if len(replay)>batch: with tf.GradientTape() as tape: batch_ = random.sample(replay,batch) q_value1 = value_network(tf.convert_to_tensor([x[0] for x in batch_])) q_value2 =