Meta-Frieren: a two-stage online optimization framework with a UCB-style meta-level selection for maximizing cumulative rewards
Read the original at arxiv.org→arXiv:2611.07169v1 Announce Type: new Abstract: We study a two-stage online optimization problem: at each round, a meta-learner first selects an agent-environment pair, then the chosen agent interacts with the...
Original headline: "Meta-Frieren: Beyond Single Level Online Learning"
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- Nov 6, 05:00 UTC arXiv cs.LG lead source Meta-Frieren: Beyond Single Level Online Learning