A Bandit Framework for Optimal Selection of Reinforcement Learning Agents

Andreas Merentitis, Kashif Rasul, Roland Vollgraf +2

Deep Reinforcement Learning has been shown to be very successful in complex games, e.g. Atari or Go. These games have clearly defined rules, and hence allow simulation. In many pra…