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Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning

The paper explores how the reliability of value estimation affects policy optimization in offline-to-online reinforcement learning for robotic manipulation.

Impact
35/100
Current rank score
6.32
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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