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This work studies the design of safe control policies for large-scale non-linear systems operating in uncertain environments.
Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming
Richard S. Sutton · 1990
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H infinity - Optimal Control and Related Minimax Design Problems: A Dynamic Game Approach , volume 41
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Exploiting model uncertainty estimates for safe dynamic control learning
JG Schneider · 1997
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Simulation of Uncertain Dynamic Systems Described By Interval Models: a Survey
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Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
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Ian R. Petersen and Roberto Tempo · 2014
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A Comprehensive Survey on Safe Reinforcement Learning
Javier García and Fernando Fernández · 2015
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Design of interval observers for uncertain dynamical systems
D. Efimov and T. Raïssi · 2016
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On the Sample Complexity of the Linear Quadratic Regulator
Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, and Stephen Tu · 2017
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Decentralization of Interval Observers for Robust Controlling and Monitoring a Class of Nonlinear Systems
Thach Ngoc Dinh and Hiroshi Ito · 2017
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Advances in Variable Structure Systems and Sliding Mode Control – Theory and Applications (Studies in Systems, Decision and Control)
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Wolfram Wiesemann, Daniel Kuhn, and Berç Rustem · 2013
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Self-normalization techniques for streaming confident regression
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The Kinematic Bicycle Model : a Consistent Model for Planning Feasible Trajectories for Autonomous Vehicles ?
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