Artificial Intelligence, Machine Learning, Data Science, Reinforcement Learning, OpenAI.
tf.reduce_mean(tf.math.pow(target_value-q_value1,2)) advantage = target_value-q_value1 action_probs = tf.cast(tf.math.log(tf.gather(action_probs,actions,axis=1,batch_dims=1)),tf.float64) loss = -tf.reduce_mean(action_probs * advantage) + value_loss grads = tape.gradient(loss,