Unverified50% confidenceFactExact time
The refined analysis in this paper proves that the actual exponential dependence of MB-RS-QVI takes the form e^(O(|β|/(1-γ))), matching the information-theoretic lower bound.
1
Sources
50%
Confidence
Long-term
Relevance
10/7/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe paper does not propose an entirely new algorithm, but instead conducts a more refined theoretical analysis of the existing model-based risk-sensitive Q-value iteration method MB-RS-QVI.61% similarUnverified单位距离问题的证明中关键工具涉及代数数域上的格构造、Gaussian整数与Eisenstein整数等特殊代数结构61% similarUnverifiedH-GBP provides a rigorous convergence proof by deriving the combined matrix operator of the abstraction and recovery steps and analyzing its spectral radius to prove convergence to the optimal solution.59% similarUnverifiedMB-RS-QVI is a plug-in method that first estimates the MDP transition model from collected samples and then performs risk-sensitive Q-value iteration on the estimated model.59% similarUnverifiedSAGA supports L1 regularization through the proximal operator technique while preserving the variance-reduction property.59% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/983301API
curl https://kongchang.com/api/v1/knowledge/claims/983301MCP
get_claim(id=983301)