most citedCan Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?

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cs.LG2023★ 1 cited

Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?

Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister +2

Causal confusion is a phenomenon where an agent learns a policy that reflects imperfect spurious correlations in the data. Such a policy may falsely appear to be optimal during tra…