1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2019
Deep Reinforcement Learning with Feedback-based Exploration
Jan Scholten, Daan Wout, Carlos Celemin +1
Deep Reinforcement Learning has enabled the control of increasingly complex and high-dimensional problems. However, the need of vast amounts of data before reasonable performance i…
cs.LG2019★ 1 cited
Learning Gaussian Policies from Corrective Human Feedback
Daan Wout, Jan Scholten, Carlos Celemin +1
Learning from human feedback is a viable alternative to control design that does not require modelling or control expertise. Particularly, learning from corrective advice garners a…