Search Results for author: Ross Story

Found 2 papers, 0 papers with code

Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks

no code implementations20 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.

Problem Decomposition reinforcement-learning +1

Using a Dynamic Neural Field Model to Explore a Direct Collicular Inhibition Account of Inhibition of Return

no code implementations22 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.

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