15 citations · 15 across the 1 of their papers we have counts for
2 papers
cs.AI2017★ 15 cited
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks
Aditya Gudimella, Ross Story, Matineh Shaker +4
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. Prior learning and knowle…
stat.ML2016
Manifold unwrapping using density ridges
Jonas Nordhaug Myhre, Matineh Shaker, Devrim Kaba +2
Research on manifold learning within a density ridge estimation framework has shown great potential in recent work for both estimation and de-noising of manifolds, building on the…