Variation-Aware Bernstein-Based Upper Confidence Reinforcement Learning for Environment With Endogenous and Exogenous Uncertainty
Online Reinforcement Learning (RL) has yielded remarkable performance in dynamic wireless communication and networks by interacting with the environment and gradually improving the effectiveness of its policy. As it is normal to witness much uncertainty in such an environment due to the intrinsic ra...
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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/11028620/ |
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