ROAD formulates data mixing as a bi-level optimization problem solved via multi-armed bandit to adaptively balance offline priors and online updates in RL.
Proto: Iterative policy regularized offline-to-online reinforcement learn- ing.arXiv preprint arXiv:2305.15669,
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ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimization
ROAD formulates data mixing as a bi-level optimization problem solved via multi-armed bandit to adaptively balance offline priors and online updates in RL.