Zobrazeno 1 - 10
of 1 156
pro vyhledávání: '"state representation"'
Publikováno v:
Robotic Intelligence and Automation, 2024, Vol. 44, Issue 2, pp. 270-286.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RIA-10-2023-0146
Autor:
Pavlopoulos, Niko
Publikováno v:
The Identity of Governments in International Law.
Externí odkaz:
https://doi.org/10.1093/9780191991509.003.0002
Autor:
Pavlopoulos, Niko
Publikováno v:
The Identity of Governments in International Law.
Externí odkaz:
https://doi.org/10.1093/9780191991509.003.0001
Autor:
Pavlopoulos, Niko
Publikováno v:
The Identity of Governments in International Law.
Externí odkaz:
https://doi.org/10.1093/9780191991509.003.0005
Autor:
Pavlopoulos, Niko
Publikováno v:
The Identity of Governments in International Law.
Externí odkaz:
https://doi.org/10.1093/9780191991509.003.0006
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 4, Pp 1888-1904 (2023)
Visual Reinforcement Learning (RL) has been largely investigated in recent decades. Existing approaches are often composed of multiple networks requiring massive computational power to solve partially observable tasks from high-dimensional data such
Externí odkaz:
https://doaj.org/article/9c3ca0f982d84013bf2339d2e11c1dc3
Publikováno v:
Heliyon, Vol 10, Iss 6, Pp e27590- (2024)
Based on the usual Wigner-Weyl transformation theory we find that the Wigner hyperbolic rotation in phase space will map onto fractional squeezing operator in Hilbert space. The merit of Weyl ordering and the coherent state representation of Fresnel
Externí odkaz:
https://doaj.org/article/1120db19beb342299a2758113bd7c749
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 1, Pp n/a-n/a (2024)
Abstract Representing mixing state of black carbon (BC) is challenging for global climate models (GCMs). The Community Atmosphere Model version 6 (CAM6) with the four‐mode version of the Modal Aerosol Module (MAM4) represents aerosols as fully inte
Externí odkaz:
https://doaj.org/article/6a9fe34937db4288a6c9269306f4a498
Autor:
Ryo Sakagami, Florian S. Lay, Andreas Dömel, Martin J. Schuster, Alin Albu-Schäffer, Freek Stulp
Publikováno v:
Frontiers in Robotics and AI, Vol 10 (2023)
The term “world model” (WM) has surfaced several times in robotics, for instance, in the context of mobile manipulation, navigation and mapping, and deep reinforcement learning. Despite its frequent use, the term does not appear to have a concise
Externí odkaz:
https://doaj.org/article/ed73c98cf73c48069f90adfbae2b6849
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 5, Pp 4911-4922 (2023)
Abstract In the complex tasks environment, efficient state feature learning is a key factor to improve the performance of the agent’s policy. When encountering a similar new environment, reinforcement learning agents usually need to learn from scra
Externí odkaz:
https://doaj.org/article/3d55bfe95bb2483aa5ad430783c09f49