Multi-agent Reinforcement Learning for the Control of Three-Dimensional Rayleigh-Bénard Convection. [PDF]
Flow Turbul CombustVasanth J +4 more
europepmc +2 more sources
Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents. [PDF]
Sensors (Basel), 2022 Kim M, Bae J, Wang B, Ko H, Lim JS.
europepmc +1 more source
Engineering Immune Cell to Counteract Aging and Aging‐Associated Diseases
Advanced Science, EarlyView.This review highlights a paradigm shift in which advanced immune cell therapies, initially developed for cancer, are now being harnessed to combat aging. By engineering immune cells to selectively clear senescent cells and remodel pro‐inflammatory tissue microenvironments, these strategies offer a novel and powerful approach to delay age‐related ...
Jianhua Guo +5 more
wiley +1 more source
Optimized multi agent reinforcement learning algorithms with hybrid BiLSTM for cost efficient EV charging scheduling. [PDF]
Front Artif IntellKhekare U, Vedaraj I S R.
europepmc +1 more source
A Bio-Inspired Decision-Making Method of UAV Swarm for Attack-Defense Confrontation via Multi-Agent Reinforcement Learning. [PDF]
Biomimetics (Basel), 2023 Chi P, Wei J, Wu K, Di B, Wang Y.
europepmc +1 more source
Advanced Science, EarlyView.Plasticity changes of molecular networks form a cellular learning process. Signaling network plasticity promotes cancer, metastasis, and drug resistance development. 55 plasticity‐related cancer drug targets are listed (20 having already approved drugs, 9 investigational drugs, and 26 being drug target candidates).
Márk Kerestély +5 more
wiley +1 more source
Multi-agent reinforcement learning driven resource game optimization for network slicing in MEC-enabled HetNets. [PDF]
Sci RepMao K.
europepmc +1 more source
Knowledge Reuse of Multi-Agent Reinforcement Learning in Cooperative Tasks. [PDF]
Entropy (Basel), 2022 Shi D, Tong J, Liu Y, Fan W.
europepmc +1 more source
Deep Reinforcement Learning Multi-Agent Systems
International journal of Modern Achievement in Science, Engineering and TechnologyDeep Reinforcement Learning (DRL) is a subfield of artificial intelligence that combines reinforcement learning and deep neural networks to solve complex problems. In multi-agent systems, intelligent agents interact simultaneously within an environment, and their decisions affect each other's behaviour.
openaire +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Advanced Science, EarlyView.Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source