Results 61 to 70 of about 139,994 (273)

FLDQN: Cooperative Multi-Agent Federated Reinforcement Learning for Solving Travel Time Minimization Problems in Dynamic Environments Using SUMO Simulation

Sensors
The increasing volume of traffic has led to severe challenges, including traffic congestion, heightened energy consumption, increased air pollution, and prolonged travel times.
Abdul Wahab Mamond, Majid Kundroo, Seong-eun Yoo, Seonghoon Kim, Taehong Kim   +4 more
doaj   +1 more source

Review of Attention Mechanisms in Reinforcement Learning [PDF]

Jisuanji kexue yu tansuo
In recent years, the combination of reinforcement learning and attention mechanisms has attracted an increasing attention in algorithmic research field.
XIA Qingfeng, XU Ke'er, LI Mingyang, HU Kai, SONG Lipeng, SONG Zhiqiang, SUN Ning
doaj   +1 more source

A Reinforcement Learning Agent for Minutiae Extraction from Fingerprints [PDF]

, 2001
In this paper we show that reinforcement learning can be used for minutiae detection in fingerprint matching. Minutiae are characteristic features of fingerprints that determine their uniqueness.
Bazen, Asker M., Gerez, Sabih H., Otterlo, Martijn van, Poel, Mannes   +3 more
core   +3 more sources

Toward Stable Multivalent Metal Batteries: Understanding the Interfacial Chemistry for Magnesium and Calcium Metal Anodes

Advanced Functional Materials, EarlyView.
Interphase chemistry governs the stability of multivalent metal batteries. We summarize state‐of‐the‐art developments in calcium and magnesium metal batteries by focusing on the correlation among electrolytes, interphase layers, and the electrochemical performance of corresponding metal anodes.
Huijun Lin, Qi Meng, Juncai Long, Chuheng Cao, Zheng‐Long Xu   +4 more
wiley   +1 more source

QiMARL: Quantum-Inspired Multi-Agent Reinforcement Learning Strategy for Efficient Resource Energy Distribution in Nodal Power Stations

AI
The coupling of quantum computing with multi-agent reinforcement learning (MARL) provides an exciting direction to tackle intricate decision-making tasks in high-dimensional spaces.
Sapthak Mohajon Turjya, Anjan Bandyopadhyay, M. Shamim Kaiser, Kanad Ray   +3 more
doaj   +1 more source

Multi-objective Reinforcement Learning [PDF]

, 2013
In this talk we present PQ-learning, a new Reinforcement Learning (RL) algorithm that determines the rational behaviours of an agent in multi-objective domainsThis work is partially funded by: grant TIN2009-14179 (Spanish Government, Plan Nacional de I ...
Ruiz-Montiel, Manuela
core  

Design Strategies and Emerging Applications of High‐Performance Flexible Piezoresistive Pressure Sensors

Advanced Functional Materials, EarlyView.
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo, Artur Ciesielski, Paolo Samorì   +2 more
wiley   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

ATA-MAOPT: Multi-Agent Online Policy Transfer Using Attention Mechanism With Time Abstraction

IEEE Access
Multi-agent deep reinforcement learning inherits one of the shortcomings of reinforcement learning, which is that a very large number of experimental episodes need to be performed to train an agent model to learn the optimal policy.
Chao Wang, Xiangbin Zhu
doaj   +1 more source

Smart Face Masks as Wearable Respiratory Sensors: A Review of Sensor Technologies, Materials, and Future Directions

Advanced Healthcare Materials, EarlyView.
This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi, Naseeh Backer Kannanthodi, Alice Nicole Casling, Babar Ali, Samira Lakouraj Mansouri, Alessandro Giuseppe D'aloia, Hossein Cheraghi Bidsorkhi, Maria Sabrina Sarto   +7 more
wiley   +1 more source