Intelligent trainer for Dyna-style model-based deep reinforcement learning
Model-based reinforcement learning (MBRL) has been proposed as a promising alternative solution to tackle the high sampling cost challenge in the canonical RL, by leveraging a system dynamics model to generate synthetic data for policy training purpose. The MBRL framework, nevertheless, is inherentl...
Saved in:
Main Authors: | Dong, Linsen, Li, Yuanlong, Zhou, Xin, Wen, Yonggang, Guan, Kyle |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/159633 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
GENERALIZATION TECHNIQUES IN DEEP REINFORCEMENT LEARNING
by: MUHAMMAD RIZKI AULIA RAHMAN MAULANA
Published: (2023) -
Action selection for composable modular deep reinforcement learning
by: GUPTA, Vaibhav, et al.
Published: (2021) -
Goal modelling for deep reinforcement learning agents
by: Leung, Jonathan, et al.
Published: (2022) -
Ensemble learning of deep learning-based receiver for 5G communication system implementation
by: Xu, Ziang
Published: (2024) -
Transforming cooling optimization for green data center via deep reinforcement learning
by: Li, Yuanlong, et al.
Published: (2021)