Zobrazeno 1 - 10
of 71 278
pro vyhledávání: '"Ly AT"'
We study optimal liquidation strategies under partial information for a single asset within a finite time horizon. We propose a model tailored for high-frequency trading, capturing price formation driven solely by order flow through mutually stimulat
Externí odkaz:
http://arxiv.org/abs/2411.04616
In the context of modern life, particularly in Industry 4.0 within the online space, emotions and moods are frequently conveyed through social media posts. The trend of sharing stories, thoughts, and feelings on these platforms generates a vast and p
Externí odkaz:
http://arxiv.org/abs/2411.04532
Precoding is a critical and long-standing technique in multi-user communication systems. However, the majority of existing precoding methods do not consider channel coding in their designs. In this paper, we consider the precoding problem in multi-us
Externí odkaz:
http://arxiv.org/abs/2410.22640
For structural health monitoring, continuous and automatic crack detection has been a challenging problem. This study is conducted to propose a framework of automatic crack segmentation from high-resolution images containing crack information about s
Externí odkaz:
http://arxiv.org/abs/2410.21175
Autor:
Ly, Reachsak, Shojaei, Alireza
Current autonomous building research primarily focuses on energy efficiency and automation. While traditional artificial intelligence has advanced autonomous building research, it often relies on predefined rules and struggles to adapt to complex, ev
Externí odkaz:
http://arxiv.org/abs/2410.19262
This paper presents a novel approach to designing a Hedge Algebra Controller named Hedge Algebra Controller with Recursive Semantic Values (RS-HAC). This approach incorporates several newly introduced concepts, including Semantically Quantifying Simp
Externí odkaz:
http://arxiv.org/abs/2410.15058
Humanoid robotics faces significant challenges in achieving stable locomotion and recovering from falls in dynamic environments. Traditional methods, such as Model Predictive Control (MPC) and Key Frame Based (KFB) routines, either require extensive
Externí odkaz:
http://arxiv.org/abs/2410.08655
Accurate physical simulation is crucial for the development and validation of control algorithms in robotic systems. Recent works in Reinforcement Learning (RL) take notably advantage of extensive simulations to produce efficient robot control. State
Externí odkaz:
http://arxiv.org/abs/2410.08650
Grasping a variety of objects remains a key challenge in the development of versatile robotic systems. The human hand is remarkably dexterous, capable of grasping and manipulating objects with diverse shapes, mechanical properties, and textures. Insp
Externí odkaz:
http://arxiv.org/abs/2410.05789
Autor:
Ly, Kevin K., Ceperley, David M.
We calculate the melting line of atomic hydrogen and deuterium up to 900 GPa with path-integral Monte Carlo using a machine-learned interatomic potential. We improve upon previous simulations of melting by treating the electrons with reptation quantu
Externí odkaz:
http://arxiv.org/abs/2409.19484