Work

Diversifying Policies With Non-Markov Dispersion to Expand the Solution Space

Year: 2024

Type: article

Source: IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI: 10.1109/tpami.2024.3455257

Authors: Bohao Qu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang, Yew-Soon Ong

Institutions: Jilin University, Agency for Science, Technology and Research, Institute of High Performance Computing, Nanyang Technological University

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Natural Science Foundation of Jilin Province, National Research Foundation, Agency for Science, Technology and Research, Nanyang Technological University, National Natural Science Foundation of China, Info-communications Media Development Authority, National Key Research and Development Program of China

Awards: G1211044700, G1212804187, G2257400089, G4000995272, G6789821807

OpenAlex ID: W4402302738

FWCI: 0.296

Cites: 74

Cited by: 2

Related to: 10