Results 221 to 230 of about 277,892 (265)
Surgery 4.0: From the Smart Operating Room to the Learning Operating Room. [PDF]
J Clin MedGumbs AA, Croner R, Couffinhal JC.
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Promoting Drowning Preventive Behaviors Among Caregivers of Children Under 5 Years Through a Health Belief Model-Based Educational Program in Thailand: A Community Study. [PDF]
Healthcare (Basel)Kawee L +2 more
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Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning [PDF]
Annual Review of Control, Robotics, and Autonomous Systems, 2022 The last half decade has seen a steep rise in the number of contributions on safe learning methods for real-world robotic deployments from both the control and reinforcement learning communities. This article provides a concise but holistic review of the recent advances made in using machine learning to achieve safe decision-making under uncertainties,
Siqi Zhou +2 more
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Learning a Low-Dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2023 For safely applying reinforcement learning algorithms on high-dimensional nonlinear dynamical systems, a simplified system model is used to formulate a safe reinforcement learning framework. Based on the simplified system model, a low-dimensional representation of the safe region is identified and is used to provide safety estimates for learning ...
Salih Özgür Ögüz +2 more
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Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
In many applications of autonomy in robotics, guarantees that constraints are satisfied throughout the learning process are paramount. We present a controller synthesis technique based on the computation of reachable sets, using optimal control and game theory.
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In many applications of autonomy in robotics, guarantees that constraints are satisfied throughout the learning process are paramount. We present a controller synthesis technique based on the computation of reachable sets, using optimal control and game theory.
openaire +2 more sources
Safe and effective learning: A case study
2010 IEEE International Conference on Robotics and Automation, 2010In this paper we consider the problem of ensuring that a multi-agent robot control system is both safe and effective in the presence of learning components. Safety, i.e., proving that a potentially dangerous configuration is never reached in the control system, usually competes with effectiveness, i.e., ensuring that tasks are performed at an ...
Giorgio Metta +4 more
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