Zobrazeno 1 - 10
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pro vyhledávání: '"Araújo, joão Pedro"'
Autor:
Araujo, Joao Pedro, Li, Jiaman, Vetrivel, Karthik, Agarwal, Rishi, Gopinath, Deepak, Wu, Jiajun, Clegg, Alexander, Liu, C. Karen
Synthesizing 3D human motion in a contextual, ecological environment is important for simulating realistic activities people perform in the real world. However, conventional optics-based motion capture systems are not suited for simultaneously captur
Externí odkaz:
http://arxiv.org/abs/2303.17912
Publikováno v:
International Journal of Sports Physiology & Performance; Oct2024, Vol. 19 Issue 10, p1068-1075, 8p
Autor:
Wang, Kuan-Chieh, Weng, Zhenzhen, Xenochristou, Maria, Araujo, Joao Pedro, Gu, Jeffrey, Liu, C. Karen, Yeung, Serena
The task of reconstructing 3D human motion has wideranging applications. The gold standard Motion capture (MoCap) systems are accurate but inaccessible to the general public due to their cost, hardware and space constraints. In contrast, monocular hu
Externí odkaz:
http://arxiv.org/abs/2212.13660
Autor:
Araújo, João Pedro Carvalho
Mestrado Integrado em Medicina
Master Degree in Medicine
Master Degree in Medicine
Externí odkaz:
http://hdl.handle.net/10216/53486
Autor:
Beleza, André Azevedo, Pires, Bernardo, Almeida, Rafael, Evans, John S.O., dos Santos, António M., Frontzek, Mathias, Lovell, Edmund, Beckmann, Benedikt, Skokov, Konstantin, Gutfleisch, Oliver, Araujo, João Pedro, Milinda Abeykoon, A.M., S Amaral, João, Belo, João Horta
Publikováno v:
In Materials Today Physics March 2024 42
This paper evaluates adaptive Q-learning (AQL) and single-partition adaptive Q-learning (SPAQL), two algorithms for efficient model-free episodic reinforcement learning (RL), in two classical control problems (Pendulum and Cartpole). AQL adaptively p
Externí odkaz:
http://arxiv.org/abs/2011.02141
This paper introduces single-partition adaptive Q-learning (SPAQL), an algorithm for model-free episodic reinforcement learning (RL), which adaptively partitions the state-action space of a Markov decision process (MDP), while simultaneously learning
Externí odkaz:
http://arxiv.org/abs/2007.06741
Akademický článek
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Publikováno v:
In Journal of Algebra 1 December 2023 635:698-735
The aim of this paper is to provide an atlas of identity bases for varieties generated by small semigroups and groups. To help the working mathematician easily find information, we provide a companion website that runs in the background automated rea
Externí odkaz:
http://arxiv.org/abs/1911.05817