Q-Learning in enormous action spaces via amortized approximate maximization

Tom Van de Wiele, David Warde-Farley, Andriy Mnih +1

Applying Q-learning to high-dimensional or continuous action spaces can be difficult due to the required maximization over the set of possible actions. Motivated by techniques from…