A Scalable Finite Difference Method for Deep Reinforcement Learning

Matthew Allen, John Raisbeck, Hakho Lee

Several low-bandwidth distributable black-box optimization algorithms in the family of finite differences such as Evolution Strategies have recently been shown to perform nearly as…