Results 131 to 140 of about 137,924 (252)
A Multi-Agent Reinforcement Learning Method for Omnidirectional Walking of Bipedal Robots. [PDF]
Biomimetics (Basel), 2023 Mou H +5 more
europepmc +1 more source
Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans
Advanced Science, EarlyView.This study employs viral‐based single‐neuron tracing and dMRI‐based whole‐brain tractography to investigate arcuate fasciculus (AF) trajectories in macaque monkeys, and compares with the human AF connectome using spectral embedding. Results demonstrate conserved AF topography spanning temporoparietal‐auditory‐frontal pathways across primates, with ...
Jiahao Huang +17 more
wiley +1 more source
Advanced Science, EarlyView.Donor‐derived tdTomato+ mature hepatocytes were FACS‐isolated and transplanted into Fah−/− host mice. During regeneration, these cells convert into proliferative, unipotent Afp+ rHeps. Their plasticity is governed by a PPARγ/AFP‐dependent metabolic switch, segregating into pro‐proliferative Afplow and pro‐survival Afphigh subpopulations.
Ting Fang +12 more
wiley +1 more source
Sample-efficient multi-agent reinforcement learning with masked reconstruction. [PDF]
PLoS One, 2023 Kim JI +7 more
europepmc +1 more source
Advanced Science, EarlyView.Tracing the evolution from structural regulation to multifunctional integration, this paper systematically analyzes modification strategies for carbon‐based electrodes. It evaluates how element doping, surface functionalization, and composite material design affect the electrode performance, and offers perspectives on future applications and challenges
Yunlei Wang +4 more
wiley +1 more source
Deep multi-agent reinforcement learning
, 2019 A plethora of real world problems, such as the control of autonomous vehicles and drones, packet delivery, and many others consists of a number of agents that need to take actions based on local observations and can thus be formulated in the multi-agent reinforcement learning (MARL) setting. Furthermore, as more machine learning systems are deployed in
openaire +1 more source
Nanozymes Integrated Biochips Toward Smart Detection System
Advanced Science, EarlyView.This review systematically outlines the integration of nanozymes, biochips, and artificial intelligence (AI) for intelligent biosensing. It details how their convergence enhances signal amplification, enables portable detection, and improves data interpretation.
Dongyu Chen +10 more
wiley +1 more source
Edge-Driven Multi-Agent Reinforcement Learning: A Novel Approach to Ultrasound Breast Tumor Segmentation. [PDF]
Diagnostics (Basel), 2023 Karunanayake N, Moodleah S, Makhanov SS.
europepmc +1 more source
Trojan Horse Strategy: How Biomimetic Nanomedicine Remodels the Tumor Microenvironment
Advanced Science, EarlyView.This review focuses on biomimetic nanomedicines for tumor microenvironment (TME) remodeling, covering their diverse biomimetic types, design principles, and mechanisms of immune cell reprogramming and reversal of immunosuppressive microenvironments, with particular emphasis on their application in synergistic immunotherapy.
Wanrong Wang +7 more
wiley +1 more source
A Comprehensive Survey on Multi-Agent Reinforcement Learning for Connected and Automated Vehicles. [PDF]
Sensors (Basel), 2023 Yadav P, Mishra A, Kim S.
europepmc +1 more source