158 citations · 383 across the 25 of their papers we have counts for
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cs.RO2018★ 1 cited
A survey on policy search algorithms for learning robot controllers in a handful of trials
Konstantinos Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp +2
Most policy search algorithms require thousands of training episodes to find an effective policy, which is often infeasible with a physical robot. This survey article focuses on th…
cs.LG2018
Policy Search in Continuous Action Domains: an Overview
Olivier Sigaud, Freek Stulp
Continuous action policy search is currently the focus of intensive research, driven both by the recent success of deep reinforcement learning algorithms and the emergence of compe…