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pro vyhledávání: '"Gaglione, A"'
We present LARL-RM (Large language model-generated Automaton for Reinforcement Learning with Reward Machine) algorithm in order to encode high-level knowledge into reinforcement learning using automaton to expedite the reinforcement learning. Our met
Externí odkaz:
http://arxiv.org/abs/2402.07069
Autor:
Ajmal, Sehar, Gaglione, Jethro, Gurrola, Alfredo, Panella, Orlando, Presilla, Matteo, Romeo, Francesco, Sun, Hao, Xue, She-Sheng
Publikováno v:
JHEP 08 (2024) 176
We present a detailed study concerning a new physics scenario involving four fermion operators of the Nambu-Jona-Lasinio type characterized by a strong-coupling ultraviolet fixed point where composite particles are formed as bound states of elementar
Externí odkaz:
http://arxiv.org/abs/2311.18472
The increasing abundance of video data enables users to search for events of interest, e.g., emergency incidents. Meanwhile, it raises new concerns, such as the need for preserving privacy. Existing approaches to video search require either manual in
Externí odkaz:
http://arxiv.org/abs/2309.10171
Autor:
Gaglione, Anthony M., Spellman, Dennis
Publikováno v:
journal of Groups, complexity, cryptology, Volume 15, Issue 1 (August 31, 2023) gcc:12200
The Heisenberg group, here denoted $H$, is the group of all $3\times 3$ upper unitriangular matrices with entries in the ring $\mathbb{Z}$ of integers. A.G. Myasnikov posed the question of whether or not the universal theory of $H$, in the language o
Externí odkaz:
http://arxiv.org/abs/2308.14351
Autor:
Marino, Angela, Soldi, Giovanni, Gaglione, Domenico, Aubry, Augusto, Braca, Paolo, De Maio, Antonio, Willett, Peter
Multi-platform radar networks (MPRNs) are an emerging sensing technology due to their ability to provide improved surveillance capabilities over plain monostatic and bistatic systems. The design of advanced detection, localization, and tracking algor
Externí odkaz:
http://arxiv.org/abs/2308.06972
Autor:
Paliwal, Yash, Roy, Rajarshi, Gaglione, Jean-Raphaël, Baharisangari, Nasim, Neider, Daniel, Duan, Xiaoming, Topcu, Ufuk, Xu, Zhe
We study a class of reinforcement learning (RL) tasks where the objective of the agent is to accomplish temporally extended goals. In this setting, a common approach is to represent the tasks as deterministic finite automata (DFA) and integrate them
Externí odkaz:
http://arxiv.org/abs/2306.13732
We investigate multi-agent reinforcement learning for stochastic games with complex tasks, where the reward functions are non-Markovian. We utilize reward machines to incorporate high-level knowledge of complex tasks. We develop an algorithm called Q
Externí odkaz:
http://arxiv.org/abs/2305.17372
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 8, Pp 1-29 (2024)
Abstract We present a detailed study concerning a new physics scenario involving four fermion operators of the Nambu-Jona-Lasinio type characterized by a strong-coupling ultraviolet fixed point where composite particles are formed as bound states of
Externí odkaz:
https://doaj.org/article/a42c354ac02948d3a4dfe0de475c1bde
Autor:
Soldi, Giovanni, Gaglione, Domenico, Raponi, Simone, Forti, Nicola, d'Afflisio, Enrica, Kowalski, Paweł, Millefiori, Leonardo M., Zissis, Dimitris, Braca, Paolo, Willett, Peter, Maguer, Alain, Carniel, Sandro, Sembenini, Giovanni, Warner, Catherine
The explosions on September 26th, 2022, which damaged the gas pipelines of Nord Stream 1 and Nord Stream 2, have highlighted the need and urgency of improving the resilience of Underwater Critical Infrastructures (UCIs). Comprising gas pipelines and
Externí odkaz:
http://arxiv.org/abs/2302.01817
Automaton-based representations of task knowledge play an important role in control and planning for sequential decision-making problems. However, obtaining the high-level task knowledge required to build such automata is often difficult. Meanwhile,
Externí odkaz:
http://arxiv.org/abs/2212.01944