Artificial Intelligence, Machine Learning, Data Science, Reinforcement Learning, OpenAI.
rewards to tensors states_ = tf.convert_to_tensor(states) actions_ = tf.convert_to_tensor(actions) rewards_ = tf.convert_to_tensor(rewards) next_states_ = tf.convert_to_tensor(next_states) with tf.GradientTape(persistent=True) as tape: action_probs,q_values1 = model(states_) q_value1 =