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Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments.

F. Stulp, J. Buchli, A. Ellmer, M. Mistry, E. Theodorou, and S. Schaal. IEEE Trans. Autonomous Mental Development, 4 (4): 330-341 (2012)

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Learning Robust Objective Functions for Model Fitting in Image Understanding Applications.M. Wimmer, F. Stulp, S. Tschechne, and B. Radig. BMVC, page 1159-1168. British Machine Vision Association, (2006)Face Model Fitting with Generic, Group-Specific, and Person-Specific Objective Functions.S. Pietzsch, M. Wimmer, F. Stulp, and B. Radig. VISAPP (2), page 5-12. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2008)978-989-8111-21-0.Reconstruction of Surfaces behind Occlusions in Range Images.F. Stulp, F. Dell'Acqua, and R. Fisher. 3DIM, page 232-239. IEEE Computer Society, (2001)Action-related place-based mobile manipulation.F. Stulp, A. Fedrizzi, and M. Beetz. IROS, page 3115-3120. IEEE, (2009)Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments.F. Stulp, J. Buchli, A. Ellmer, M. Mistry, E. Theodorou, and S. Schaal. IEEE Trans. Autonomous Mental Development, 4 (4): 330-341 (2012)Co-manipulation with a library of virtual guiding fixtures.G. Raiola, S. Restrepo, P. Chevalier, P. Rodríguez-Ayerbe, X. Lamy, S. Tliba, and F. Stulp. Auton. Robots, 42 (5): 1037-1051 (2018)Adaptive exploration through covariance matrix adaptation enables developmental motor learning.F. Stulp, and P. Oudeyer. Paladyn, 3 (3): 128-135 (2012)Optimized Execution of Action Chains Using Learned Performance Models of Abstract Actions.F. Stulp, and M. Beetz. IJCAI, page 1272-1280. Professional Book Center, (2005)A functional data analysis approach for continuous 2-D emotion annotations.K. Sharma, M. Wagner, C. Castellini, E. van den Broek, F. Stulp, and F. Schwenker. Web Intell., 17 (1): 41-52 (2019)Comparing motion generation and motion recall for everyday mobile manipulation tasks.C. Lopera, H. Tome, A. Tsouroukdissian, and F. Stulp. IROS, page 3045-3046. IEEE, (2012)

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Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments.

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Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments.