Mix-Spectrum for Generalization in Visual Reinforcement Learning
Visual Reinforcement Learning (RL) trains agents on policies using images showing the potential for real-world applications. However, the limited diversity in the training environment often results in overfitting with agents underperforming in unseen environments. To address this issue, image augmen...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10833629/ |
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