Jul 6, 2018 · This survey article focuses on the extreme other end of the spectrum: how can a robot adapt with only a handful of trials (a dozen) and a few minutes?
Dec 27, 2019 · This survey article focuses on the extreme other end of the spectrum: how can a robot adapt with only a handful of trials (a dozen) and a few minutes?
Dec 4, 2019 · This survey article focuses on the extreme other end of the spectrum: how can a robot adapt with only a handful of trials (a dozen) and a few ...
This article shows that a first strategy is to leverage prior knowledge on the policy structure, which is to create data-driven surrogate models of the ...
Jul 13, 2018 · This survey article focuses on the extreme other end of the spectrum: how can a robot adapt with only a handful of trials (a dozen) and a few ...
Abstract—Most policy search (PS) algorithms require thousands of training episodes to find an effective policy, which is often infeasible with a physical robot.
A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials · Computer Science, Engineering. IEEE Transactions on Robotics · 2020.
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Calinon, J.-B Mouret (2020). A survey on policy search algorithms for learning robot controllers in a handful of trials. IEEE Transactions on Robotics. 36 ...
We review recent successes of both model-free and model-based policy search in robot learning. Model-free policy search is a general approach to learn policies.
Missing: Handful Trials.
A survey on policy search algorithms for learning robot controllers in a handful of trials [url]; J.-B Mouret, J. Clune (2015). Illuminating search spaces by ...