HypeDelta
DigestTopicsClaimsPredictionsReliabilityResearchers
Admin
DigestTopicsClaimsPredictionsReliabilityResearchers

HypeDelta - AI Research Intelligence

Claimsreasoning
reasoning
fact
neutral

The result sharply distinguishes between local stochastic fluctuation and global sample complexity in distributional RL, with the deterministic transient and burn-in depending on the smallest Bellman-target density (order m^(-1) in worst case).

The result therefore distinguishes sharply between the local stochastic fluctuation and the global sample complexity.
Machine Learning (Statistics)30 Aug 2026

http://arxiv.org/abs/2608.27313v1