Results 141 to 150 of about 139,994 (273)

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

Advanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong, Ji Ma, Yidan Lu, Jiahui Zhang, Wanyue Li, Yeke Chen, Teng Zhang, Xuechao Chen, Zhangguo Yu, Peng Lu   +9 more
wiley   +1 more source

Hierarchical multi-agent reinforcement learning for retrieval-augmented industrial document question answering. [PDF]

Sci Rep
Qian Y, Han B, Yuan Y, Zhang X, Zhu H, Ni L, Zhong S.   +6 more
europepmc   +1 more source

Advanced Technologies for Characterizing and Detecting Battery Thermal Failure: A Review

Advanced Science, EarlyView.
Illustration of advanced characterization techniques to predict battery thermal failure. ABSTRACT Energy storage is essential in accelerating the global transition toward clean and sustainable energy across various sectors. Lithium‐ion batteries (LIBs) have become increasingly significant for energy storage due to their high energy density, low ...
Yongxiu Chen, Zeyu Sun, Wei Zong, Yuhang Dai, Kai Ling Ng, Paul R. Shearing   +5 more
wiley   +1 more source

Parametrized Graph Convolutional Multi-Agent Reinforcement Learning with Hybrid Action Spaces in Dynamic Topologies. [PDF]

Biomimetics (Basel)
Chi P, Liu C, Zhao J, Wang Y.
europepmc   +1 more source

The Elephant Trunk Skin Inspires a Highly Sensitive and Deformable, Yet Robust, Armor Skin

Advanced Science, EarlyView.
The study presents the elephant trunk‐inspired armor skin with tactile sensing (ETATS). The ETATS architecture stretches and compresses while resisting puncture and tear, and it enables optical detection of pressure and lateral strain. Morphology‐based decoupling of strain and pressure paves the way to sensitive and deformable, yet robust, soft‐robotic
Jun Chang Yang, Petr Trunin, Behnam Kamare, Lucia Beccai   +3 more
wiley   +1 more source

Multi-Agent Reinforcement Learning [PDF]

, 2001
  +4 more sources

Personalized multi-agent reinforcement learning framework for adaptive chronic disease therapy management. [PDF]

Sci Rep
Ahmad F, AlGhamdi R.
europepmc   +1 more source

Kinsenoside Targets IDH1 to Restore Microglial Immune‐Metabolic Homeostasis for Alzheimer's Disease Therapy

Advanced Science, EarlyView.
Dysregulated TCA cycle contributes to Alzheimer's disease (AD) pathogenesis. Here, we show that microglial isocitrate dehydrogenase 1 (IDH1) is a critical driver. Elevated IDH1 disrupts citrate metabolism and mitochondrial function, exacerbating AD pathology.
Qianqian Li, Yajin Liao, Yan‐bo Zhao, Hongxing Wu, Tong Jin, Shuoshuo Li, Yuhan Liu, Peng Li, Songying Ouyang, Zekai Li, YuTing Xia, Qian Hua, Rui‐Yuan Pan, Zengqiang Yuan   +13 more
wiley   +1 more source

A cognitive internet of things resource allocation method based on multi-agent reinforcement learning algorithm. [PDF]

Sci Rep
Wang R, Shen Y, Wang D, Li W.
europepmc   +1 more source

A Multi-Agent Reinforcement Learning Method for Omnidirectional Walking of Bipedal Robots. [PDF]

Biomimetics (Basel), 2023
Mou H, Xue J, Liu J, Feng Z, Li Q, Zhang J.   +5 more
europepmc   +1 more source