Artificial Intelligence, Machine Learning, Data Science, Reinforcement Learning, Deep Learning.
actor(current_state,training=True) current_q_value = critic([current_state,actions],training=True) actor_loss = -tf.reduce_mean(current_q_value) grads_actor = tape.gradient(actor_loss, actor.trainable_variables) optimizer_actor.apply_gradients(zip(grads_actor, actor.trainable_variables))