A New Era for Deep Reinforcement Learning
I thought it would be valuable to take a step back, add some historical context to some important work we publicized recently at Bonsai, and to start to explore what this could mean for the future of deep reinforcement learning (DRL). In contrast to some frequently cited achievements in DRL, these results show the tremendous business value that can be realized when this technology is applied to real world systems. To explore this achievement in greater detail I recently wrote a post over at insideBIGDATA titled “Deep Reinforcement Learning: From Board Games to the Boardroom”. In this article I lay out the trajectory DRL has been following so far, the obstacles it has encountered along the way, and explain where it may be going from here. Head over, take a read, and let me know what you think.