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…