Hangzhou, China

Kailiang Hu



 

Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2020

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5 patents (USPTO):Explore Patents

Title: Kailiang Hu: Innovator in Action Selection Policies and Strategic Interaction

Introduction

Kailiang Hu is a prominent inventor based in Hangzhou, China. He has made significant contributions to the fields of action selection policies and strategic interactions. With a total of 5 patents, his work showcases innovative methods and systems that enhance decision-making processes in various applications.

Latest Patents

Kailiang Hu's latest patents include groundbreaking technologies. One notable patent is focused on determining action selection policies of an execution device. This invention discloses methods for generating an action selection policy (ASP) by computing rewards and regret values for actions in a given state. Another significant patent involves sampling schemes for strategy searching in strategic interactions between parties. This patent outlines methods for performing counterfactual regret minimization (CFR) to optimize strategies in competitive environments.

Career Highlights

Throughout his career, Kailiang Hu has worked with notable companies, including Alibaba Group Holding Limited and Advantageous New Technologies Co., Ltd. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology and strategic decision-making.

Collaborations

Kailiang Hu has collaborated with talented individuals such as Le Song and Hui Li. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Kailiang Hu is a distinguished inventor whose work in action selection policies and strategic interactions has made a significant impact in his field. His innovative patents and collaborations highlight his commitment to advancing technology and improving decision-making processes.

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