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1 Ergebnisse
1
Managing Shaping Complexity in Reinforcement Learning with ..:
, In:
2022 IEEE International Conference on Mechatronics and Automation (ICMA)
,
Mo, Ya-Wen
;
Ho, ChiKai
;
King, Chung-Ta
- p. 544-550 , 2022
Link:
https://doi.org/10.1109/ICMA54519.2022.9856243
RT T1 <cTitle>2022 IEEE International Conference on Mechatronics and Automation (ICMA)</cTitle>: T1 <Title>Managing Shaping Complexity in Reinforcement Learning with State Machines - Using Robotic Tasks with Unspecified Repetition as an Example</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9856243&Exemplar=1&LAN=DE A1 Mo, Ya-Wen A1 Ho, ChiKai A1 King, Chung-Ta YR 2022 SN 2152-744X K1 Systematics K1 Mechatronics K1 Automation K1 Stacking K1 Neural networks K1 Reinforcement learning K1 Complexity theory K1 Machine learning K1 Reward design K1 Reward shaping K1 Robotic control SP 544 OP 550 LK http://dx.doi.org/https://doi.org/10.1109/ICMA54519.2022.9856243 DO https://doi.org/10.1109/ICMA54519.2022.9856243 SF ELIB - SuUB Bremen
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