Work

State Abstraction via Deep Supervised Hash Learning

Year: 2024

Type: article

Source: IEEE Transactions on Neural Networks and Learning Systems

DOI: 10.1109/tnnls.2024.3467338

Authors: Guang Yang, Zheng Xu, Jing Huo, Shangdong Yang, Tianyu Ding, Xingguo Chen, Yang Gao

Institutions: Nanjing University, Nanjing University of Posts and Telecommunications, Microsoft (United States), Yili Normal University

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Center of Science and Technology Evaluation, National Natural Science Foundation of China, Science and Technology Innovation Foundation of Harbin

Awards: G1091219171, G2328581383, G2767813700, G669068149, G7334411499

OpenAlex ID: W4403534327

FWCI: 0.304

Cites: 36

Cited by: 2

Related to: 10