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pro vyhledávání: '"Grushin, Alexander."'
State of the art reinforcement learning methods sometimes encounter unsafe situations. Identifying when these situations occur is of interest both for post-hoc analysis and during deployment, where it might be advantageous to call out to a human over
Externí odkaz:
http://arxiv.org/abs/2409.18289
Publikováno v:
Proc. SPIE 13058, Disruptive Technologies in Information Sciences VIII, 130580J (6 June 2024)
AI-enabled capabilities are reaching the requisite level of maturity to be deployed in the real world, yet do not always make correct or safe decisions. One way of addressing these concerns is to leverage AI control systems alongside and in support o
Externí odkaz:
http://arxiv.org/abs/2407.03210
Autor:
Grushin, Alexander
Today's most powerful machine learning approaches are typically designed to train stateless architectures with predefined layers and differentiable activation functions. While these approaches have led to unprecedented successes in areas such as natu
Externí odkaz:
http://arxiv.org/abs/2312.14359
Any autonomous controller will be unsafe in some situations. The ability to quantitatively identify when these unsafe situations are about to occur is crucial for drawing timely human oversight in, e.g., freight transportation applications. In this w
Externí odkaz:
http://arxiv.org/abs/2307.13642
Autor:
Grushin, Alexander, Woods, Walt
Publikováno v:
Proceedings of the 2022 IEEE Security and Privacy Workshops (SPW) (2022) 88-97
Reinforcement learning has recently shown promise as a technique for training an artificial neural network to parse sentences in some unknown format, through a body of work known as RL-GRIT. A key aspect of the RL-GRIT approach is that rather than ex
Externí odkaz:
http://arxiv.org/abs/2108.00103
Autor:
Grushin, Alexander.
Thesis (Ph. D.) -- University of Maryland, College Park, 2007.
Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in
Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in
Externí odkaz:
http://hdl.handle.net/1903/6847
Creation of a homogeneous plasma column by means of hohlraum radiation for ion-stopping measurements
Autor:
Faik, Steffen, Tauschwitz, Anna, Basko, Mikhail M., Maruhn, Joachim A., Rosmej, Olga, Rienecker, Tim, Novikov, Vladimir G., Grushin, Alexander S.
Publikováno v:
High Energy Density Physics 10 (2014) 47-55
In this work, we present the results of two-dimensional radiation-hydrodynamics simulations of a hohlraum target whose outgoing radiation is used to produce a homogeneously ionized carbon plasma for ion-beam stopping measurements. The cylindrical hoh
Externí odkaz:
http://arxiv.org/abs/1304.7027
Autor:
Blowers, Misty, Wysocki, Bryant T., Woods, Walt, Grushin, Alexander, Khan, Simon, Velasquez, Alvaro
Publikováno v:
Proceedings of SPIE; June 2024, Vol. 13058 Issue: 1 p130580J-130580J-19, 12927440p
Creation of a homogeneous plasma column by means of hohlraum radiation for ion-stopping measurements
Autor:
Faik, Steffen, Tauschwitz, Anna, Basko, Mikhail M., Maruhn, Joachim A., Rosmej, Olga, Rienecker, Tim, Novikov, Vladimir G., Grushin, Alexander S.
Publikováno v:
In High Energy Density Physics March 2014 10:47-55
Autor:
Grushin, Alexander, Reggia, James A.
Publikováno v:
In Robotics and Autonomous Systems 2008 56(4):334-359