Zobrazeno 1 - 10
of 1 025
pro vyhledávání: '"Ganai, P"'
In this paper, we study Hawking radiation in Jackiw-Teitelboim gravity for minimally coupled massless and massive scalar fields. We employ a holography-inspired technique to derive the Bogoliubov coefficients. We consider both black holes in equilibr
Externí odkaz:
http://arxiv.org/abs/2408.08985
Facial Recognition Systems (FRSs) are being developed and deployed globally at unprecedented rates. Most platforms are designed in a limited set of countries but deployed in worldwide, without adequate checkpoints. This is especially problematic for
Externí odkaz:
http://arxiv.org/abs/2407.15810
Recent literature has proposed approaches that learn control policies with high performance while maintaining safety guarantees. Synthesizing Hamilton-Jacobi (HJ) reachable sets has become an effective tool for verifying safety and supervising the tr
Externí odkaz:
http://arxiv.org/abs/2407.09645
Autor:
Mandal, Udayan, Amir, Guy, Wu, Haoze, Daukantas, Ieva, Newell, Fletcher Lee, Ravaioli, Umberto, Meng, Baoluo, Durling, Michael, Hobbs, Kerianne, Ganai, Milan, Shim, Tobey, Katz, Guy, Barrett, Clark
In recent years, deep reinforcement learning (DRL) approaches have generated highly successful controllers for a myriad of complex domains. However, the opaque nature of these models limits their applicability in aerospace systems and safety-critical
Externí odkaz:
http://arxiv.org/abs/2407.07088
Autor:
Mandal, Udayan, Amir, Guy, Wu, Haoze, Daukantas, Ieva, Newell, Fletcher Lee, Ravaioli, Umberto J., Meng, Baoluo, Durling, Michael, Ganai, Milan, Shim, Tobey, Katz, Guy, Barrett, Clark
Deep reinforcement learning (DRL) is a powerful machine learning paradigm for generating agents that control autonomous systems. However, the ``black box'' nature of DRL agents limits their deployment in real-world safety-critical applications. A pro
Externí odkaz:
http://arxiv.org/abs/2405.14058
Autor:
Afnan Saleem, Sahar Saleem Bhat, Faith A. Omonijo, Nazir A Ganai, Eveline M. Ibeagha-Awemu, Syed Mudasir Ahmad
Publikováno v:
Veterinary Quarterly, Vol 44, Iss 1, Pp 1-23 (2024)
Mastitis is an inflammatory condition that affects dairy cow’s mammary glands. Traditional treatment approaches with antibiotics are increasingly leading to challenging scenarios such as antimicrobial resistance. In order to mitigate the unwanted s
Externí odkaz:
https://doaj.org/article/c5ff2daa447548bbb9ec736357d0021b
Publikováno v:
Discover Psychology, Vol 4, Iss 1, Pp 1-14 (2024)
Abstract This study examines the role of happiness in academic procrastination among professional students and explores the impact of student type (senior vs. junior) and residence (rural vs. urban) on procrastination behaviors. The sample consisted
Externí odkaz:
https://doaj.org/article/c8bd785272334910b8558797e9c5d7bd
Ensuring safety is important for the practical deployment of reinforcement learning (RL). Various challenges must be addressed, such as handling stochasticity in the environments, providing rigorous guarantees of persistent state-wise safety satisfac
Externí odkaz:
http://arxiv.org/abs/2309.13528
An important challenge in Machine Learning compilers like XLA is multi-pass optimization and analysis. There has been recent interest chiefly in XLA target-dependent optimization on the graph-level, subgraph-level, and kernel-level phases. We specifi
Externí odkaz:
http://arxiv.org/abs/2308.14364
Publikováno v:
Modern Physics Letters B, Vol. 38, No. 06, 2350245 (2024)
Quantum information protocols are often designed in the ideal situation with no decoherence. However, in real setup, these protocols are subject to the decoherence and thus reducing fidelity of the measurement outcome. In this work, we analyze the ef
Externí odkaz:
http://arxiv.org/abs/2307.01104