z-logo
open-access-imgOpen Access
Count-Based Exploration via Embedded State Space for Deep Reinforcement Learning
Author(s) -
Xinyue Liu,
Qinghua Li,
Yuangang Li
Publication year - 2022
Publication title -
wireless communications and mobile computing
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1155/2022/1238571
Subject(s) - reinforcement learning , computer science , merge (version control) , encode , embedding , binary number , artificial intelligence , state (computer science) , state space , learning classifier system , code (set theory) , theoretical computer science , machine learning , algorithm , parallel computing , mathematics , biochemistry , chemistry , statistics , arithmetic , set (abstract data type) , gene , programming language

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom