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REVISITING PLASTICITY IN VISUAL REINFORCEMENT LEARNING: DATA, MODULES AND TRAINING STAGES
Guozheng Ma
, Lu Li
, Sen Zhang
, Zixuan Liu
, Zhen Wang
, Yixin Chen
, Li Shen
, Xueqian Wang
, Dacheng Tao
Department of Computer Science & Engineering
Institute of Clinical and Translational Sciences (ICTS)
Research output
:
Contribution to conference
›
Paper
›
peer-review
8
Scopus citations
Overview
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Dive into the research topics of 'REVISITING PLASTICITY IN VISUAL REINFORCEMENT LEARNING: DATA, MODULES AND TRAINING STAGES'. Together they form a unique fingerprint.
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Keyphrases
Learning Module
100%
Sampling Efficiency
100%
Training Stages
100%
Learning Data
100%
Data Training
100%
Visual Reinforcement Learning
100%
Data Module
100%
Neural Network
33%
High Performance
33%
Ratio-based
33%
Training Process
33%
Dynamically Adjust
33%
Potential Improvement
33%
Timely Intervention
33%
Efficient Training
33%
Data Augmentation
33%
Reinforcement Learning Framework
33%
Computer Science
Reinforcement Learning
100%
Neural Network
33%
Regularization
33%
Learning Framework
33%
Training Process
33%
Data Augmentation
33%
Frequency Reuse
33%
Social Sciences
Neural Network
100%
Data Augmentation
100%
Psychology
Neural Network
100%