Abstract
In this paper, we investigate the closed-loop acquisition of basic behaviours on Sphero – a real spherical robot. We impose the additional requirement of learning from scratch in a single episode. The behaviour is encoded as an inverse model for stabilization and sensory target tracking tasks using recurrent neural networks.
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APA
Berthold, O., & Hafner, V. V. (2015). Closed-loop acquisition of behaviour on the Sphero robot. In Proceedings of the 13th European Conference on Artificial Life, ECAL 2015 (pp. 472–478). MIT Press Journals. https://doi.org/10.7551/978-0-262-33027-5-ch084
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