Zobrazeno 1 - 10
of 7 529
pro vyhledávání: '"A P, Flint"'
Social conventions are the foundation for social and economic life. As legions of AI agents increasingly interact with each other and with humans, their ability to form shared conventions will determine how effectively they will coordinate behaviors,
Externí odkaz:
http://arxiv.org/abs/2410.08948
Autor:
Wan, Zhenglin, Yu, Xingrui, Bossens, David Mark, Lyu, Yueming, Guo, Qing, Fan, Flint Xiaofeng, Tsang, Ivor
Imitation learning (IL) has shown great potential in various applications, such as robot control. However, traditional IL methods are usually designed to learn only one specific type of behavior since demonstrations typically correspond to a single e
Externí odkaz:
http://arxiv.org/abs/2410.06151
Autor:
Xia, Weiyi, Tee, Wei-Shen, Canfield, Paul C., Garcia, Fernando Assis, Ribeiro, Raquel D, Lee, Yongbin, Ke, Liqin, Flint, Rebecca, Wang, Cai-Zhuang
The discovery of novel quantum materials within ternary phase spaces containing antagonistic pair such as Fe with Bi, Pb, In, and Ag, presents significant challenges yet holds great potential. In this work, we investigate the stabilization of these i
Externí odkaz:
http://arxiv.org/abs/2407.11208
Density functional theory (DFT), including its extensions designed to treat strongly correlated localized electron systems such as DFT+$U$ and DFT+dynamical mean field theory, has proven exceedingly useful in studying the magnetic properties of solid
Externí odkaz:
http://arxiv.org/abs/2407.10067
Autor:
Kornjača, M., Flint, R.
Magnetic anisotropy is a key feature of rare earth materials from permanent magnets to heavy fermions. We explore the complex interplay of Kondo physics and anisotropy in a minimal impurity model using numerical renormalization group. While anisotrop
Externí odkaz:
http://arxiv.org/abs/2407.09971
techniques can be considered as an attractive alternative to the often-cumbersome traditional manufacturing routes. With the use of high-power lasers, localized hot zones that are necessary for glass making can be obtained rapidly. For instance, Lase
Externí odkaz:
http://arxiv.org/abs/2407.04598
Autor:
Cassells, Duncan, Costantini, Lorenzo, Ashery, Ariel Flint, Gadge, Shreyas, Pires, Diogo L., Sánchez-Cortés, Miguel Á., Santoro, Arnaldo, Omodei, Elisa
Food insecurity, defined as the lack of physical or economic access to safe, nutritious and sufficient food, remains one of the main challenges of the 2030 Agenda for Sustainable Development. Food insecurity is a complex phenomenon, resulting from th
Externí odkaz:
http://arxiv.org/abs/2407.03117
Autor:
Corecco, Nathan, Piatti, Giorgio, Lanzendörfer, Luca A., Fan, Flint Xiaofeng, Wattenhofer, Roger
Reinforcement learning (RL) has gained popularity in the realm of recommender systems due to its ability to optimize long-term rewards and guide users in discovering relevant content. However, the successful implementation of RL in recommender system
Externí odkaz:
http://arxiv.org/abs/2406.01631
Autor:
Fiorini, Camilla, Flint, Clément, Fostier, Louis, Franck, Emmanuel, Hashemi, Reyhaneh, Michel-Dansac, Victor, Tenachi, Wassim
Symbolic Regression (SR) is a widely studied field of research that aims to infer symbolic expressions from data. A popular approach for SR is the Sparse Identification of Nonlinear Dynamical Systems (\sindy) framework, which uses sparse regression t
Externí odkaz:
http://arxiv.org/abs/2404.15742
Autor:
Mak, Hei Yi, Fan, Flint Xiaofeng, Lanzendörfer, Luca A., Tan, Cheston, Ooi, Wei Tsang, Wattenhofer, Roger
In this study, we delve into Federated Reinforcement Learning (FedRL) in the context of value-based agents operating across diverse Markov Decision Processes (MDPs). Existing FedRL methods typically aggregate agents' learning by averaging the value f
Externí odkaz:
http://arxiv.org/abs/2403.20156