Results 141 to 150 of about 6,813,126 (333)

Fair Server Selection in Edge Computing With $Q$-Value-Normalized Action-Suppressed Quadruple Q-Learning [PDF]

, 2021
Alaa Eddin Alchalabi, Shervin Shirmohammadi, Shady Mohammed, Sorin Stoian, Karthigesu Vijayasuganthan   +4 more
openalex   +1 more source

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source

Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems [PDF]

, 2013
Chunlin Chen, Daoyi Dong, Han‐Xiong Li, Jian Chu, Tzyh‐Jong Tarn   +4 more
openalex   +1 more source

Min–Max Q-learning for multi-player pursuit-evasion games [PDF]

, 2021
Jhanani Selvakumar, Efstathios Bakolas
openalex   +1 more source

Adaptive Q-learning

, 2013
Developing an effective multi-stage treatment strategy over time is one of the essential goals of modern medical research. Developing statistical inference, including constructing confidence intervals for parameters, is of key interest in studies applying dynamic treatment regimens.
Goldberg, Yair, Song, Rui, Kosorok, Michael R.   +2 more
openaire   +2 more sources

Intermixing‐Driven Growth of Highly Oriented Indium Phosphide on Black Phosphorus

Advanced Functional Materials, EarlyView.
This study demonstrates controlled intermixing and compound formation at the In/black phosphorus (BP) interface, leading to highly oriented InP formation. Comprehensive structural and electrical analyses reveal tunable bandgap behavior governed by competing BP thinning and charge‐transfer effects, underscoring the critical role of interfacial compound ...
Tae Keun Yun, Min Gyeong Shin, Uje Choi, Jieun Yeon, Jae Joon Kim, Yangjin Lee, Kwanpyo Kim   +6 more
wiley   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

Bio‐Orthogonally Crosslinked Supramolecular Polymer Bottlebrush Hydrogels for Long‐Term 3D Cell Culture

Advanced Functional Materials, EarlyView.
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi, David Pretzel, Peer Nölte, Kourosh Rezaei, Ulrich S. Schubert, Johannes C. Brendel   +5 more
wiley   +1 more source

Una estrategia híbrida de aprendizaje por refuerzo informada por RRT* para la planificación de caminos de robots móviles en minería a cielo abierto

Revista Iberoamericana de Automática e Informática Industrial RIAI
Este trabajo introduce una estrategia híbrida de planificación de caminos para vehículos robóticos tipo diferencial, combinando métodos de aprendizaje por refuerzo con técnicas de muestreo aleatorio.
Sebastian Zapata, Ricardo Urvina, Katherine Aro, Eduardo Aguilar, Fernando Auat Cheein, Alvaro Prado   +5 more
doaj   +1 more source

Power and Rate Allocation for Energy-Efficient Rate-Splitting Multiple Access via Deep Q-Learning

, 2023
Maria Diamanti, Georgios Kapsalis, Eirini Eleni Tsiropoulou, Symeon Papavassiliou   +3 more
openalex   +1 more source