Unverified50% confidenceFactExact time
Occupancy-measure-based algorithms rewrite the policy optimization problem as convex optimization over the occupancy measure polytope, thereby globally controlling error accumulation across all state-action pairs, which is the fundamental reason their regret bound has one fewer H factor.
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10/12/2026
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