Direct Loss Minimization Inverse Optimal Control Andreas Doerr∗ , Nathan Ratliff∗† , Jeannette Bohg† , Marc Toussaint∗ and Stefan Schaal†‡ ∗ Machine Learning & Robotics Lab, University Stuttgart, Germany

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On  Finite-­‐)me  Convergent  Gossip  Algorithms:   Existence,  Complexity,  and  Some  Applica)ons   Guodong  Shi   Automa)c  Control,  Electrical  Engineering   KTH

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Nonlinear Analysis: Modelling and Control, 2011, Vol. 16, No. 3, 315–Asymptotic behavior of the Gerber–Shiu discounted penalty function in the Erlang(2) risk process

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The 2nd International Workshop on Secure Internet of Things (SIoTIn conjunction with the 19 International Conference on Control Systems and Computer Science (CSCS) th

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Feature Teaching Metabolic Control Analysis and kinetic modelling Towards a portable teaching module

Source URL: www.gepasi.org

51st IEEE Conference on Decision and Control December 10-13, 2012. Maui, Hawaii, USA Nonlinear Gaussian Filtering via Radial Basis Function Approximation Huazhen Fang, Jia Wang and Raymond A. de Callafon

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Sanitation Measures to Control Walnut Twig Beetle (Pityophthorus juglandis) Emergence from Felled Black Walnut Logs R. Sitz, E. Luna, N. Tisserat, and W. Cranshaw Department of Bioagricultural Sciences and Pest Managemen

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100 Nonlinear Analysis: Modelling and Control, 2011, Vol. 16, No. 1, 100–115 Soret and Dufour effects on mixed convection in a non-Darcy porous medium saturated

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This paper has been accepted for publication at the ICRA Workshop on Perception, Inference, and Learning for Joint Semantic, Geometric, and Physical Understanding, Brisbane, 2018. Learning to Control Drones in Natural En

Source URL: rpg.ifi.uzh.ch

• Artificial intelligence
• Machine learning
• Technology
• Robotics
• Learning
• Belief revision
• Reinforcement learning
• Cognitive robotics
• Robot learning
• Robot
• Autonomous robot
• Mobile robot

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 57, NO. 3, MARCHConnectivity and Set Tracking of Multi-Agent Systems Guided by Multiple Moving Leaders

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