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pro vyhledávání: '"Chen, JianYu"'
Autor:
Li, Heng, Li, Haojin, Chen, Jianyu, Qiu, Zhongxi, Fu, Huazhu, Wang, Lidai, Hu, Yan, Liu, Jiang
Deep learning models often encounter challenges in making accurate inferences when there are domain shifts between the source and target data. This issue is particularly pronounced in clinical settings due to the scarcity of annotated data resulting
Externí odkaz:
http://arxiv.org/abs/2405.01228
This paper derived the indirect approximation theorem of the most probable transition pathway of a stochastic interacting particle system in the mean field sense. This paper studied the problem of indirect approximation of the most probable transitio
Externí odkaz:
http://arxiv.org/abs/2404.07552
Publikováno v:
ICRA 2024 Workshop on Agile Robotics
Humanoid-Gym is an easy-to-use reinforcement learning (RL) framework based on Nvidia Isaac Gym, designed to train locomotion skills for humanoid robots, emphasizing zero-shot transfer from simulation to the real-world environment. Humanoid-Gym also i
Externí odkaz:
http://arxiv.org/abs/2404.05695
An intelligent driving system should dynamically formulate appropriate driving strategies based on the current environment and vehicle status while ensuring system security and reliability. However, methods based on reinforcement learning and imitati
Externí odkaz:
http://arxiv.org/abs/2401.11792
Large language models (LLMs) pre-trained on vast internet-scale data have showcased remarkable capabilities across diverse domains. Recently, there has been escalating interest in deploying LLMs for robotics, aiming to harness the power of foundation
Externí odkaz:
http://arxiv.org/abs/2309.09969
In recent years, Reinforcement Learning (RL) is becoming a popular technique for training controllers for robots. However, for complex dynamic robot control tasks, RL-based method often produces controllers with unrealistic styles. In contrast, human
Externí odkaz:
http://arxiv.org/abs/2309.08904
Molecule discovery serves as a cornerstone in numerous scientific domains, fueling the development of new materials and innovative drug designs. Recent developments of in-silico molecule discovery have highlighted the promising results of cross-modal
Externí odkaz:
http://arxiv.org/abs/2309.05203
In this paper, we prove that every compact smooth Riemannian manifold of dimension $\ge 5$ carries a smooth volume preserving nonuniformly hyperbolic diffeomorphism with countably infinitely many ergodic components.
Comment: 12 pages, 1 figure
Comment: 12 pages, 1 figure
Externí odkaz:
http://arxiv.org/abs/2308.00297
Autor:
Chen, Jianyu
Publikováno v:
International Journal of Manpower, 2023, Vol. 45, Issue 4, pp. 733-753.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJM-05-2023-0231
Large language models (LLMs) encode a vast amount of semantic knowledge and possess remarkable understanding and reasoning capabilities. Previous work has explored how to ground LLMs in robotic tasks to generate feasible and executable textual plans.
Externí odkaz:
http://arxiv.org/abs/2307.00329