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Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks

, , , , , and . 6th Annual Conference on Robot Learning, (2023)

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Rocking Stamper and Jumping Snakes from a Dynamical Systems Approach to Artificial Life., , and . Adaptive Behaviour, 14 (2): 105-115 (2006)Linear combination of one-step predictive information with an external reward in an episodic policy gradient setting: a critical analysis., , and . CoRR, (2013)Novel plasticity rule can explain the development of sensorimotor intelligence., and . Proc. Natl. Acad. Sci. U.S.A., 112 (45): E6224-E6232 (2015)Nonlinear decoding of a complex movie from the mammalian retina., , , , and . PLoS Computational Biology, (2018)Machine Learning for Haptics: Inferring Multi-Contact Stimulation From Sparse Sensor Configuration., and . Front. Neurorobot., (2019)Variational Autoencoders Pursue PCA Directions (by Accident)., , and . CVPR, page 12406-12415. Computer Vision Foundation / IEEE, (2019)Learning with Muscles : Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks, , , , , and . Proceedings of The 6th Conference on Robot Learning, 205, page 1178-1188. MLResearchPress, (2022)A Sensor-Based Learning Algorithm for the Self-Organization of Robot Behavior., , , and . Algorithms, 2 (1): 398-409 (2009)The world as its own best controller: a case study with anthropomimetic robots., and . CoRR, (2016)Variational Autoencoders Pursue PCA Directions (by Accident)., , and . CoRR, (2018)