Zobrazeno 1 - 10
of 2 315
pro vyhledávání: '"Agapiou A."'
Autor:
Vezhnevets, Alexander Sasha, Agapiou, John P., Aharon, Avia, Ziv, Ron, Matyas, Jayd, Duéñez-Guzmán, Edgar A., Cunningham, William A., Osindero, Simon, Karmon, Danny, Leibo, Joel Z.
Agent-based modeling has been around for decades, and applied widely across the social and natural sciences. The scope of this research method is now poised to grow dramatically as it absorbs the new affordances provided by Large Language Models (LLM
Externí odkaz:
http://arxiv.org/abs/2312.03664
Autor:
Agapiou, Sergios, Castillo, Ismaël
We propose a new Bayesian strategy for adaptation to smoothness in nonparametric models based on heavy tailed series priors. We illustrate it in a variety of settings, showing in particular that the corresponding Bayesian posterior distributions achi
Externí odkaz:
http://arxiv.org/abs/2308.04916
Autor:
Madhushani, Udari, McKee, Kevin R., Agapiou, John P., Leibo, Joel Z., Everett, Richard, Anthony, Thomas, Hughes, Edward, Tuyls, Karl, Duéñez-Guzmán, Edgar A.
In social psychology, Social Value Orientation (SVO) describes an individual's propensity to allocate resources between themself and others. In reinforcement learning, SVO has been instantiated as an intrinsic motivation that remaps an agent's reward
Externí odkaz:
http://arxiv.org/abs/2305.00768
Autor:
Eva Savina Malinverni, Dante Abate, Antonia Agapiou, Francesco Di Stefano, Andrea Felicetti, Marina Paolanti, Roberto Pierdicca, Primo Zingaretti
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The illicit traffic of cultural goods remains a persistent global challenge, despite the proliferation of comprehensive legislative frameworks developed to address and prevent cultural property crimes. Online platforms, especially social med
Externí odkaz:
https://doaj.org/article/9a382663e8634447beaeedc96fc4ff2d
Autor:
Agapiou, John P., Vezhnevets, Alexander Sasha, Duéñez-Guzmán, Edgar A., Matyas, Jayd, Mao, Yiran, Sunehag, Peter, Köster, Raphael, Madhushani, Udari, Kopparapu, Kavya, Comanescu, Ramona, Strouse, DJ, Johanson, Michael B., Singh, Sukhdeep, Haas, Julia, Mordatch, Igor, Mobbs, Dean, Leibo, Joel Z.
Multi-agent artificial intelligence research promises a path to develop intelligent technologies that are more human-like and more human-compatible than those produced by "solipsistic" approaches, which do not consider interactions between agents. Me
Externí odkaz:
http://arxiv.org/abs/2211.13746
Autor:
Agapiou, Sergios, Savva, Aimilia
In many scientific applications the aim is to infer a function which is smooth in some areas, but rough or even discontinuous in other areas of its domain. Such spatially inhomogeneous functions can be modelled in Besov spaces with suitable integrabi
Externí odkaz:
http://arxiv.org/abs/2209.06045
Autor:
Marios Constantinou, Christoforos Panteli, Louiza Potamiti, Mihalis I. Panayiotidis, Agapios Agapiou, Sotirios Christodoulou, Chrysafis Andreou
Publikováno v:
Advanced Sensor Research, Vol 3, Iss 6, Pp n/a-n/a (2024)
Abstract Surface enhanced Raman spectroscopy (SERS) is becoming an attractive analytical technique for the next generation of breath diagnostics. However, current SERS substrates present challenges related to fabrication cost, complexity, signal unif
Externí odkaz:
https://doaj.org/article/9ef7b2078f4248cc85935141e31c0b03
Autor:
Wagner, Sean, Agapiou, John
Publikováno v:
In Manufacturing Letters October 2024 41 Supplement:103-112
Autor:
Underwood, Alexander P., Gupta, Money, Wu, Bing-Ru, Eltahla, Auda A., Boo, Irene, Wang, Jing Jing, Agapiou, David, Abayasingam, Arunasingam, Reynaldi, Arnold, Keoshkerian, Elizabeth, Zhao, Yanran, Brasher, Nicholas, Walker, Melanie R., Bukh, Jens, Maher, Lisa, Gordon, Tom, Davenport, Miles P., Luciani, Fabio, Drummer, Heidi E., Lloyd, Andrew R., Bull, Rowena A.
Publikováno v:
In Journal of Hepatology September 2024 81(3):415-428
Autor:
Kopparapu, Kavya, Duéñez-Guzmán, Edgar A., Matyas, Jayd, Vezhnevets, Alexander Sasha, Agapiou, John P., McKee, Kevin R., Everett, Richard, Marecki, Janusz, Leibo, Joel Z., Graepel, Thore
A key challenge in the study of multiagent cooperation is the need for individual agents not only to cooperate effectively, but to decide with whom to cooperate. This is particularly critical in situations when other agents have hidden, possibly misa
Externí odkaz:
http://arxiv.org/abs/2201.01816