Results 121 to 130 of about 171,350 (313)
Q-learning with Nearest Neighbors
, 2018 Accepted to NIPS ...
Shah, Devavrat, Xie, Qiaomin
openaire +2 more sources
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation [PDF]
arXiv, 2019 Q-learning with neural network function approximation (neural Q-learning for short) is among the most prevalent deep reinforcement learning algorithms. Despite its empirical success, the non-asymptotic convergence rate of neural Q-learning remains virtually unknown.
arxiv
Advanced Functional Materials, EarlyView.Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du +11 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Synthetic cells are engineered herein to respond to an external chemical messenger by the activation of intracellular catalysis. The chemical messenger molecules are catalytically generated by an extracellular enzyme or a mineral surface, whereas the intracellular catalysis emerges via direct enzyme activation or via protein refolding.
Dante G. Andersen +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This study presents a novel method using laser‐induced graphene (LIG) to enable high‐yield transfer of silver nanowire (AgNW) networks onto ultra‐low modulus, breathable silicone substrates. This approach creates ultra‐conformal epidermal electrodes (≈50 µm) for long‐term, high‐fidelity electrophysiological monitoring, even in challenging conditions ...
Jiuqiang Li +10 more
wiley +1 more source
Q-Cut—Dynamic Discovery of Sub-goals in Reinforcement Learning [PDF]
, 2002 Ishai Menache +2 more
openalex +1 more source
Advanced Functional Materials, EarlyView.By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto +8 more
wiley +1 more source
Decision Support Method in Dynamic Car Navigation Systems by Q-Learning [PDF]
, 2002 Soo-Jung Hong +2 more
openalex +1 more source
Jordanian Journal of Computers and Information Technology, 2017 Cooperative Q-learning approach allows multiple learners to learn independently then share their Q-values among each other using a Q-value sharing strategy. A main problem with this approach is that the solutions of the learners may not converge to optimality because the optimal Q-values may not be found.
openaire +3 more sources
Advanced Materials, EarlyView.A novel one‐shot integration electropolymerization (OSIEP) method is developed as a breakthrough on the intricate photolithographic steps, enabling to compress all processes from synthesis to channel integration in one‐shot manufacturing. The specially designed dual bipolar electrodes provide the targeted depositions of poly(3,4‐ethylenedioxythiophene)
Jiyun Lee +9 more
wiley +1 more source