Zobrazeno 1 - 10
of 2 280
pro vyhledávání: '"Chen Jiayu"'
Autor:
Chen, Jiayu, Yu, Chao, Li, Guosheng, Tang, Wenhao, Yang, Xinyi, Xu, Botian, Yang, Huazhong, Wang, Yu
Multi-UAV pursuit-evasion, where pursuers aim to capture evaders, poses a key challenge for UAV swarm intelligence. Multi-agent reinforcement learning (MARL) has demonstrated potential in modeling cooperative behaviors, but most RL-based approaches r
Externí odkaz:
http://arxiv.org/abs/2409.15866
Autor:
Dolci, Giorgio, Cruciani, Federica, Rahaman, Md Abdur, Abrol, Anees, Chen, Jiayu, Fu, Zening, Galazzo, Ilaria Boscolo, Menegaz, Gloria, Calhoun, Vince D.
Alzheimer's disease (AD) is the most prevalent form of dementia with a progressive decline in cognitive abilities. The AD continuum encompasses a prodormal stage known as Mild Cognitive Impairment (MCI), where patients may either progress to AD or re
Externí odkaz:
http://arxiv.org/abs/2406.13292
Skills are effective temporal abstractions established for sequential decision making tasks, which enable efficient hierarchical learning for long-horizon tasks and facilitate multi-task learning through their transferability. Despite extensive resea
Externí odkaz:
http://arxiv.org/abs/2405.16386
Autor:
Thapaliya, Bishal, Miller, Robyn, Chen, Jiayu, Wang, Yu-Ping, Akbas, Esra, Sapkota, Ram, Ray, Bhaskar, Suresh, Pranav, Ghimire, Santosh, Calhoun, Vince, Liu, Jingyu
Resting-state functional magnetic resonance imaging (rs-fMRI) is a noninvasive technique pivotal for understanding human neural mechanisms of intricate cognitive processes. Most rs-fMRI studies compute a single static functional connectivity matrix a
Externí odkaz:
http://arxiv.org/abs/2405.15805
Federated Reinforcement Learning (FRL) allows multiple agents to collaboratively build a decision making policy without sharing raw trajectories. However, if a small fraction of these agents are adversarial, it can lead to catastrophic results. We pr
Externí odkaz:
http://arxiv.org/abs/2403.09940
Sepsis, a life-threatening condition triggered by the body's exaggerated response to infection, demands urgent intervention to prevent severe complications. Existing machine learning methods for managing sepsis struggle in offline scenarios, exhibiti
Externí odkaz:
http://arxiv.org/abs/2403.07309
As driverless automated driving systems (ADS) start to operate on public roads, there is an urgent need to understand how safely these systems are managing real-world traffic conditions. With data from the California Public Utilities Commission (CPUC
Externí odkaz:
http://arxiv.org/abs/2403.14648
Deep generative models (DGMs) have demonstrated great success across various domains, particularly in generating texts, images, and videos using models trained from offline data. Similarly, data-driven decision-making and robotic control also necessi
Externí odkaz:
http://arxiv.org/abs/2402.13777
Data generation is a data augmentation technique for enhancing the generalization ability for skeleton-based human action recognition. Most existing data generation methods face challenges to ensure the temporal consistency of the dynamic information
Externí odkaz:
http://arxiv.org/abs/2401.17086
Autor:
Ren, Tianhe, Liu, Shilong, Zeng, Ailing, Lin, Jing, Li, Kunchang, Cao, He, Chen, Jiayu, Huang, Xinyu, Chen, Yukang, Yan, Feng, Zeng, Zhaoyang, Zhang, Hao, Li, Feng, Yang, Jie, Li, Hongyang, Jiang, Qing, Zhang, Lei
We introduce Grounded SAM, which uses Grounding DINO as an open-set object detector to combine with the segment anything model (SAM). This integration enables the detection and segmentation of any regions based on arbitrary text inputs and opens a do
Externí odkaz:
http://arxiv.org/abs/2401.14159