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CoDrift: Compositional Drifting for Offline Reinforcement Learning

This story is from 2026-08-26. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.23939v1 Announce Type: new Abstract: Offline reinforcement learning is intrinsically multi-objective: a policy must remain compatible with the behavioral support of a fixed dataset while preferentially selecting high-value actions. We recast these objectives in a common form by viewing e…

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  1. 2026-08-26 04:00 · arXiv cs.LG
    CoDrift: Compositional Drifting for Offline Reinforcement Learning

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