no code implementations • 20 Sep 2017 • Aditya Gudimella, Ross Story, Matineh Shaker, Ruofan Kong, Matthew Brown, Victor Shnayder, Marcos Campos
Deep reinforcement learning yields great results for a large array of problems, but models are generally retrained anew for each new problem to be solved.
no code implementations • 22 Jul 2013 • Jason Satel, Ross Story, Matthew D. Hilchey, Zhiguo Wang, Raymond M. Klein
When the interval between a transient ash of light (a "cue") and a second visual response signal (a "target") exceeds at least 200ms, responding is slowest in the direction indicated by the first signal.