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20202026
most citedLP-based policies for restless bandits: necessary and sufficient conditions for (exponentially fast) asymptotic optimality

17 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

math.ST2026

Glivenko--Cantelli Theorems for Integrated Volatility Functionals in Pure-Jump Semimartingales with an Application to Cryptocurrency Markets

Dachuan Chen, Jia Li, Tian Xie +1

We develop a two-step procedure for estimating integrated volatility functionals, defined through the occupation measure of the latent spot volatility process, when the asset price…

math.ST2026

Nonparametric inference for spot volatility in pure-jump semimartingales

Chengxin Yan, Dachuan Chen, Jia Li

We provide a comprehensive analysis of spot volatility inference in pure-jump semimartingales under two asymptotic settings: fixed-, where each local window uses a fixed number…

cs.AI2025

WGSR-Bench: Wargame-based Game-theoretic Strategic Reasoning Benchmark for Large Language Models

Qiyue Yin, Pei Xu, Qiaozhe Li +15

Recent breakthroughs in Large Language Models (LLMs) have led to a qualitative leap in artificial intelligence' s performance on reasoning tasks, particularly demonstrating remarka…

math.OC2024★ 1 cited

An Optimal-Control Approach to Infinite-Horizon Restless Bandits: Achieving Asymptotic Optimality with Minimal Assumptions

Chen YAN

We adopt an optimal-control framework for addressing the undiscounted infinite-horizon discrete-time restless -armed bandit problem. Unlike most studies that rely on constructin…

math.OC2021★ 17 cited

LP-based policies for restless bandits: necessary and sufficient conditions for (exponentially fast) asymptotic optimality

Nicolas Gast, Bruno Gaujal, Chen Yan

We provide a framework to analyse control policies for the restless Markovian bandit model, under both finite and infinite time horizon. We show that when the population of arms go…

cs.PF2020

Exponential Convergence Rate for the Asymptotic Optimality of Whittle Index Policy

Nicolas Gast, Bruno Gaujal, Chen Yan

We evaluate the performance of Whittle index policy for restless Markovian bandits, when the number of bandits grows. It is proven in [30] that this performance is asymptotically o…