Zobrazeno 1 - 10
of 3 338
pro vyhledávání: '"Robu A"'
Autor:
ROBU Alina
Publikováno v:
Psihologie, Vol 44, Iss 1, Pp 26-37 (2024)
This article explores the multifaceted concept of entrepreneurial intention within the context of entrepreneurial behavior, grounded in the theory of planned behavior proposed by Ajzen, highlighting the significance of attitude, societal norms, and p
Externí odkaz:
https://doaj.org/article/4aeb9f4f3e804b6c8ebe40d8b9cd12da
Publikováno v:
Risk in Contemporary Economy, Vol 1, Iss 1, Pp 376-385 (2021)
Optimization problems with applicability in the agricultural economics and agribusiness usually require highly complex algorithms for solving. The Solver tool, which is an add-in to Microsoft Excel software, may represent a simplified resource, made
Externí odkaz:
https://doaj.org/article/94c4364314534713b3f04d2cd4fb3f5a
Publikováno v:
AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems
This paper addresses the problem of integrating local guide policies into a Reinforcement Learning agent. For this, we show how to adapt existing algorithms to this setting before introducing a novel algorithm based on a noisy policy-switching proced
Externí odkaz:
http://arxiv.org/abs/2402.13930
Autor:
Daoudi, Paul, Mavkov, Bojan, Robu, Bogdan, Prieur, Christophe, Witrant, Emmanuel, Barlier, Merwan, Santos, Ludovic Dos
Publikováno v:
2024 IEEE Conference on Control Technology and Applications (CCTA)
This paper presents a learning-based control strategy for non-linear throttle valves with an asymmetric hysteresis, leading to a near-optimal controller without requiring any prior knowledge about the environment. We start with a carefully tuned Prop
Externí odkaz:
http://arxiv.org/abs/2402.13654
Publikováno v:
Proceedings of the the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)
Off-dynamics Reinforcement Learning (ODRL) seeks to transfer a policy from a source environment to a target environment characterized by distinct yet similar dynamics. In this context, traditional RL agents depend excessively on the dynamics of the s
Externí odkaz:
http://arxiv.org/abs/2312.15474
Autor:
Zhang, Ying, Robu, Valentin, Cremers, Sho, Norbu, Sonam, Couraud, Benoit, Andoni, Merlinda, Flynn, David, Poor, H. Vincent
Publikováno v:
Authors' pre-print of paper published in Applied Energy, Vol. 355 (1 February 2024), 122173
Peer-to-peer (P2P) energy trading and energy communities have garnered much attention over in recent years due to increasing investments in local energy generation and storage assets. However, the efficiency to be gained from P2P trading, and the str
Externí odkaz:
http://arxiv.org/abs/2311.11192
Autonomous robots used in infrastructure inspection, space exploration and other critical missions operate in highly dynamic environments. As such, they must continually verify their ability to complete the tasks associated with these missions safely
Externí odkaz:
http://arxiv.org/abs/2303.08476
Publikováno v:
Applied Energy, 331 (2022)
With the emergence of energy communities, where a number of prosumers invest in shared generation and storage, the issue of fair allocation of benefits is increasingly important. The Shapley value has attracted increasing interest for redistribution
Externí odkaz:
http://arxiv.org/abs/2301.00174
Autor:
Robu, Vlad
Euler's totient function, $\varphi(n)$, which counts how many of $0,1,\dots,n-1$ are coprime to $n$, has an explicit asymptotic lower bound of $n/\log \log n$, modulo some constant. In this note, we generalise $\varphi$; given an irreducible integer
Externí odkaz:
http://arxiv.org/abs/2211.10644
In this study we focus on the diagnosis of Parkinson's Disease (PD) based on electroencephalogram (EEG) signals. We propose a new approach inspired by the functioning of the brain that uses the dynamics, frequency and temporal content of EEGs to extr
Externí odkaz:
http://arxiv.org/abs/2210.11624