Results 101 to 110 of about 277,892 (265)

Policy Bifurcation in Safe Reinforcement Learning

CoRR
Safe reinforcement learning (RL) offers advanced solutions to constrained optimal control problems. Existing studies in safe RL implicitly assume continuity in policy functions, where policies map states to actions in a smooth, uninterrupted manner; however, our research finds that in some scenarios, the feasible policy should be discontinuous or multi-
Wenjun Zou, Yao Lyu, Jie Li 0042, Yujie Yang, Shengbo Eben Li, Jingliang Duan, Xianyuan Zhan, Jingjing Liu, Yaqin Zhang, Keqiang Li   +9 more
openaire   +3 more sources

Bioengineered Interfaces for Peripheral Nerve Sensory Restoration

Advanced Materials, EarlyView.
Half of amputees abandon their prosthetics for lack of feeling. This review charts the full path from peripheral nerve injury to restored sensation, through surgical, regenerative, noninvasive, and implanted approaches, and shows how injury type and interface material properties determine which strategy can deliver naturalistic feedback, and why ...
Sydney Swedick, Salim El Hadwe, Kesi Liang, George G. Malliaras, Damiano G. Barone   +4 more
wiley   +1 more source

Big Data-Driven Multi-Constraint Learning for Adaptive Safe Driving Control

Mathematics
End-to-end autonomous driving systems have demonstrated remarkable potential in navigating complex environments by directly mapping sensory inputs to control actions. However, many existing approaches rely on a single encoder to compress driving big data
Yipene Cedric Francois Bassole, Yunsick Sung   +1 more
doaj   +1 more source

Reinforcement learning for safe evacuation time of fire in Hong Kong-Zhuhai-Macau immersed tube tunnel

Systems Science & Control Engineering, 2018
In this paper, authors mainly study the laws of safe evacuation time based on reinforcement learning when fire breaks out in the immersed tunnel. In case of fire, time is life. When the people in the tunnel begin to escape, they will instinctively choose
Kun Tian, Shuping Jiang
doaj   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Adaptive Cruise Control Based on Safe Deep Reinforcement Learning

Sensors
Adaptive cruise control (ACC) enables efficient, safe, and intelligent vehicle control by autonomously adjusting speed and ensuring a safe following distance from the vehicle in front. This paper proposes a novel adaptive cruise system, namely the Safety-
Rui Zhao, Kui Wang, Wenbo Che, Yun Li, Yuze Fan, Fei Gao   +5 more
doaj   +1 more source

Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies

Advanced Materials, EarlyView.
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim, Haeseong Kim, Joo Hwan Ko, Gil Ju Lee, Dae‐Hyeong Kim, Young Min Song   +5 more
wiley   +1 more source

Editorial: Safety in Collaborative Robotics and Autonomous Systems

Frontiers in Robotics and AI, 2022
Ashwin Dani, Zhen Kan, Rushikesh Kamalapurkar, Nicholas Gans   +3 more
doaj   +1 more source

Implementation of Safe Learning Environments in Early Childhood Education

Buana Gender: Jurnal Studi Gender dan Anak
A safe learning environment in early childhood education is an important aspect in supporting children's optimal development. This research was conducted to find out and analyze how early childhood education institutions have implemented a safe learning ...
Rosida Nur Syamsiyati, Imam Makruf, SF Luthfie Arguby Purnomo   +2 more
doaj   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source