Results 81 to 90 of about 6,292,535 (287)

Dynamic hedging of 50ETF options using Proximal Policy Optimization

Journal of Automation and Intelligence
This paper employs the PPO (Proximal Policy Optimization) algorithm to study the risk hedging problem of the Shanghai Stock Exchange (SSE) 50ETF options.
Lei Liu, Mengmeng Hao, Jinde Cao
doaj   +1 more source

Canonical Antibodies Adopt Distinct Binding Modes to Recognize Viral Glycan Shields

Advanced Science, EarlyView.
Canonical Y‐shaped antibodies recognize viral glycan shields through adaptive Fab assembly states shaped by glycan organization and somatic hypermutation. Structural analyses ofbroadly neutralizing antibodies VRC35 and VRC36 across glycoproteins of HIV‐1, influenza, SARS‐CoV‐2, and Lassa viruses reveal distinct Fab assembly states, spanning monovalent,
Jiaxuan Cheng, Evan M. Cale, Amirabbas Maghsoudi, Matthew S. Sutton, Nancy S. Longo, Rebecca A. Gillespie, Lingshu Wang, Ivan Kosik, Sue Chong, Atsuhiro Yasuhara, Tatsiana Bylund, Arne Schön, Prabhanshu Tripathi, Yaroslav Tsybovsky, Haotian Lei, Nicholas C. Morano, Allison B. Lupatkin, Abraham J. Morton, Zabrina C. Lang, Jordan E. Becker, Isabella R. Frascilla, Myungjin Lee, Ning Li, Cuiping Liu, Ryan S. Roark, Chen‐Hsiang Shen, I‐Ting Teng, David J. Van Wazer, Danyi Wang, Lingyuan Wu, Goran Ahlsen, Mike Castro, Haijuan Du, Michael J. Ernandes, Tiansheng Li, Bob C. Lin, Mark K. Louder, Krisha McKee, Jonah S. Merriam, Sijy O'Dell, Li Ou, Sergei Pletnev, David Prikryl, Qi Qiu, Sarah Rubin, Mallika Sastry, Stephen D. Schmidt, Asif Shajahan, Andrea R. Shiakolas, Sanjay Srivatsan, Baoshan Zhang, Qiong Zhou, Mark Connors, Jason G. Gall, Yicheng Guo, Rick K. Huang, Yaoxing Huang, Richard A. Koup, Q. Paula Lei, John R. Mascola, Reda Rawi, Leonid Serebryannyy, Lawrence Shapiro, Zizhang Sheng, David D. Ho, Patrick C. Wilson, Jonathan W. Yewdell, Theodore C. Pierson, Masaru Kanekiyo, Nicole A. Doria‐Rose, Peter D. Kwong, Tongqing Zhou   +71 more
wiley   +1 more source

UCAV Air Combat Maneuver Decisions Based on a Proximal Policy Optimization Algorithm with Situation Reward Shaping

, 2022
Autonomous maneuver decision by an unmanned combat air vehicle (UCAV) is a critical part of air combat that requires both flight safety and tactical maneuvering. In this paper, an unmanned combat air vehicle air combat maneuver decision method based on a
Wenhan Dong, Ming Cai, Kaibiao Yang, Ri Liu, Shengde Jia   +4 more
core   +1 more source

Organic Electrochemical Transistors for Neuromorphic Bioelectronics: Materials and Manufacturing Technologies

Advanced Science, EarlyView.
Organic electrochemical transistors bridge biological ionic signaling and neuromorphic computation through volumetric electrochemical gating. This review connects Organic mixed ionic–electronic conductor materials, device architectures, and manufacturing technologies to show how geometry, ion transport, and fabrication strategies program plasticity ...
Hyunjin Lee, Jihyang Park, Xinyi Wang, Yueqi Deng, Jiashu Ren, Tao Zhou   +5 more
wiley   +1 more source

Trust Region-Guided Proximal Policy Optimization

CoRR, 2019
Proximal policy optimization (PPO) is one of the most popular deep reinforcement learning (RL) methods, achieving state-of-the-art performance across a wide range of challenging tasks. However, as a model-free RL method, the success of PPO relies heavily on the effectiveness of its exploratory policy search.
Yuhui Wang 0004, Hao He, Xiaoyang Tan, Yaozhong Gan   +3 more
openaire   +4 more sources

Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications

Advanced Science, EarlyView.
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen, Jiahui Lai, Qiongjiao Zeng, Liangbin Zhou, Boguang Yang, Bin Zhang, Min Wang, Jiajing Zhou, Kieran Lau, Khoon S. Lim, Zhong Alan Li, Rocky S. Tuan   +11 more
wiley   +1 more source

Proximal Policy Optimization with Evolutionary Mutations

CoRR
10 pages, 5 figures, 2 tables, 1 ...
Casimir Czworkowski, Stephen Hornish, Alhassan S. Yasin   +2 more
openaire   +3 more sources

Epigenetic Silencing of CYYR1 Promotes Lung Adenocarcinoma Progression Through TRIM21‐Dependent Regulation of HMMR Stability

Advanced Science, EarlyView.
CYYR1 as an epigenetically dysregulated tumor‐suppressive factor that influences oncoprotein stability through TRIM21‐dependent HMMR regulation and reveals a potential therapeutic vulnerability in CYYR1‐deficient LUAD. The graphical illustration was created using FigDraw (www.figdraw.com).
Fengsheng Dai, Jingyi Tang, Huan Rong, Yu Wang, Xiangyi Zhou, Can Xu, Jianhua Wang, Lili Li, Yue Wu, Fei Deng, Dan Yang, Xiao Yang, Renyan Li, Yongzhong Wu, Dongxi Xiang, Tingxiu Xiang   +15 more
wiley   +1 more source

Partial Advantage Estimator for Proximal Policy Optimization

IEEE Transactions on Games
Estimation of value in policy gradient methods is a fundamental problem. Generalized Advantage Estimation (GAE) is an exponentially-weighted estimator of an advantage function similar to $λ$-return. It substantially reduces the variance of policy gradient estimates at the expense of bias.
Yizhao Jin, Xiulei Song, Gregory G. Slabaugh, Simon M. Lucas   +3 more
openaire   +4 more sources

An Adaptive Clipping Approach for Proximal Policy Optimization

CoRR, 2018
Very recently proximal policy optimization (PPO) algorithms have been proposed as first-order optimization methods for effective reinforcement learning. While PPO is inspired by the same learning theory that justifies trust region policy optimization (TRPO), PPO substantially simplifies algorithm design and improves data efficiency by performing ...
Gang Chen 0002, Yiming Peng, Mengjie Zhang 0001   +2 more
openaire   +2 more sources