15 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.AI2021★ 2 cited
Reinforcement Learning Agent Training with Goals for Real World Tasks
Xuan Zhao, Marcos Campos
Reinforcement Learning (RL) is a promising approach for solving various control, optimization, and sequential decision making tasks. However, designing reward functions for complex…
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…