Work

Stable Deep Reinforcement Learning Method by Predicting Uncertainty in Rewards as a Subtask

Year: 2020

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-63833-7_55

Authors: Kanata Suzuki, Tetsuya Ogata

Institutions: Waseda University, Fujitsu (Japan), Artificial Intelligence Research Center

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: ACT-X

OpenAlex ID: W3108932235

FWCI: 0.286

Cites: 25

Cited by: 3

Related to: 10