Results 211 to 220 of about 10,350,910 (281)

Multi-modal and multi-agent reinforcement learning framework for urban traffic flow prediction and signal control optimization. [PDF]

Sci Rep
Wang R, Zhang J, Wang X, He H, Zou Y.
europepmc   +1 more source

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

Advanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo, Yunwen Wu, Yuhui Guo, Shenghong Ju   +3 more
wiley   +1 more source

Optimized multi agent reinforcement learning algorithms with hybrid BiLSTM for cost efficient EV charging scheduling. [PDF]

Front Artif Intell
Khekare U, Vedaraj I S R.
europepmc   +1 more source

Omnidirectional Interaction Networks Modulating Phenotypic Plasticity in the Gut Microbiota Towards Ulcerative Colitis

Advanced Science, EarlyView.
This study employs a spouse‐pair cohort design and an idopNetwork model that integrates evolutionary game theory, predator‐prey dynamics, and developmental modularity theory to reconstruct maximally informative microbial interaction networks. This approach reveals how interspecies interactions drive the phenotypic plasticity of the gut microbiota in ...
Huizhen Li, Jiayi Li, Ang Dong, Xiaoyan Guo, Qiuyue Tu, Zelin Feng, Haojia Lin, Yanru Zhang, Yuxuan Hao, Huiying Gong, Yihan Meng, Yu Wang, Shing‐Tung Yau, Xiaocang Cao, Rongling Wu, Xinjuan Liu   +15 more
wiley   +1 more source

Multi-Agent Reinforcement Learning in Games: Research and Applications. [PDF]

Biomimetics (Basel)
Li H, Yang P, Liu W, Yan S, Zhang X, Zhu D.   +5 more
europepmc   +1 more source

Field‐Driven Active Colloids as Distributed Micromachines: Bridging Physics, Control, and Function Across Length Scales

Advanced Science, EarlyView.
Field‐driven active colloids are framed as distributed micromachines in which externally supplied power, sensing, and control regulate task‐relevant states. By closing the loop between particle behavior, imaging, computation, and electric or magnetic actuation, these systems can progress from programmable motion toward adaptive functional outcomes ...
Ruchi Patel, Bhuvnesh Bharti
wiley   +1 more source

Multi-agent Reinforcement Learning for the Control of Three-Dimensional Rayleigh-Bénard Convection. [PDF]

Flow Turbul Combust
Vasanth J, Rabault J, Alcántara-Ávila F, Mortensen M, Vinuesa R.   +4 more
europepmc   +2 more sources

Multi-agent reinforcement learning driven resource game optimization for network slicing in MEC-enabled HetNets. [PDF]

Sci Rep
Mao K.
europepmc   +1 more source

Mitochondrial Protection and Neural Repair via ROS‐Responsive Biomimetic Nanoparticles in Intracerebral Hemorrhage

Advanced Science, EarlyView.
A ROS‐responsive biomimetic nanoparticle platform co‐delivers DIDS and Mdivi‐1 to protect mitochondria and promote neural repair after intracerebral hemorrhage. By targeting LPAR1/VDAC1‐related mitochondrial dysfunction, the nanotherapy reduces oxidative injury, neuronal apoptosis, and blood‐brain barrier disruption, improving neurological recovery and
Ling Gao, Li Peng, Xiaobin Zheng, Cong Tan, Chuang Wang, Qijiang Xiong, Weiming Chen, Zhao Yang   +7 more
wiley   +1 more source

Personalized skill transfer optimization in swimming training through multi-agent reinforcement learning driven digital twin environments. [PDF]

Sci Rep
Wu Z.
europepmc   +1 more source