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pro vyhledávání: '"Koren, Mark"'
Validating the safety of autonomous systems generally requires the use of high-fidelity simulators that adequately capture the variability of real-world scenarios. However, it is generally not feasible to exhaustively search the space of simulation s
Externí odkaz:
http://arxiv.org/abs/2107.12940
Publikováno v:
Journal of Artificial Intelligence Research, vol. 72, p. 377-428, 2021
Autonomous cyber-physical systems (CPS) can improve safety and efficiency for safety-critical applications, but require rigorous testing before deployment. The complexity of these systems often precludes the use of formal verification and real-world
Externí odkaz:
http://arxiv.org/abs/2005.02979
Autor:
Brundage, Miles, Avin, Shahar, Wang, Jasmine, Belfield, Haydn, Krueger, Gretchen, Hadfield, Gillian, Khlaaf, Heidy, Yang, Jingying, Toner, Helen, Fong, Ruth, Maharaj, Tegan, Koh, Pang Wei, Hooker, Sara, Leung, Jade, Trask, Andrew, Bluemke, Emma, Lebensold, Jonathan, O'Keefe, Cullen, Koren, Mark, Ryffel, Théo, Rubinovitz, JB, Besiroglu, Tamay, Carugati, Federica, Clark, Jack, Eckersley, Peter, de Haas, Sarah, Johnson, Maritza, Laurie, Ben, Ingerman, Alex, Krawczuk, Igor, Askell, Amanda, Cammarota, Rosario, Lohn, Andrew, Krueger, David, Stix, Charlotte, Henderson, Peter, Graham, Logan, Prunkl, Carina, Martin, Bianca, Seger, Elizabeth, Zilberman, Noa, hÉigeartaigh, Seán Ó, Kroeger, Frens, Sastry, Girish, Kagan, Rebecca, Weller, Adrian, Tse, Brian, Barnes, Elizabeth, Dafoe, Allan, Scharre, Paul, Herbert-Voss, Ariel, Rasser, Martijn, Sodhani, Shagun, Flynn, Carrick, Gilbert, Thomas Krendl, Dyer, Lisa, Khan, Saif, Bengio, Yoshua, Anderljung, Markus
With the recent wave of progress in artificial intelligence (AI) has come a growing awareness of the large-scale impacts of AI systems, and recognition that existing regulations and norms in industry and academia are insufficient to ensure responsibl
Externí odkaz:
http://arxiv.org/abs/2004.07213
Validation is a key challenge in the search for safe autonomy. Simulations are often either too simple to provide robust validation, or too complex to tractably compute. Therefore, approximate validation methods are needed to tractably find failures
Externí odkaz:
http://arxiv.org/abs/2004.04293
Autor:
Koren, Mark, Kochenderfer, Mykel J.
Recently, reinforcement learning (RL) has been used as a tool for finding failures in autonomous systems. During execution, the RL agents often rely on some domain-specific heuristic reward to guide them towards finding failures, but constructing suc
Externí odkaz:
http://arxiv.org/abs/2004.04292
Autor:
Koren, Mark, Kochenderfer, Mykel
During the development of autonomous systems such as driverless cars, it is important to characterize the scenarios that are most likely to result in failure. Adaptive Stress Testing (AST) provides a way to search for the most-likely failure scenario
Externí odkaz:
http://arxiv.org/abs/1907.06795
This paper presents a method for testing the decision making systems of autonomous vehicles. Our approach involves perturbing stochastic elements in the vehicle's environment until the vehicle is involved in a collision. Instead of applying direct Mo
Externí odkaz:
http://arxiv.org/abs/1902.01909
Autor:
Koren, Mark
Uvod: Tenziomiografija je sodobna, neinvazivna, razmeroma preprosta in dostopna tehnika, namenjena merjenju specifičnih parametrov posameznih mišic. Meritev se izvede s senzorjem za pritisk, nameščenim na trebuhu mišice, ki zaznava oscilacije, v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3505::7d35e67c77a00d41c16f1c225d4266f3
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=113194
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=113194
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