UNIQ uses split conformal prediction on a multi-expectile ensemble to produce state-adaptive expectiles on top of IQL, yielding consistent gains on D4RL MuJoCo tasks at near-IQL memory cost.
arXiv preprint arXiv:2402.08976 , year =
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UNIQ: Conformal Calibration for Adaptive Conservatism in Offline Reinforcement Learning
UNIQ uses split conformal prediction on a multi-expectile ensemble to produce state-adaptive expectiles on top of IQL, yielding consistent gains on D4RL MuJoCo tasks at near-IQL memory cost.