Kefan Dong | DeepAI

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Qiang Liu
190 publications
Liwei Wang
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Tengyu Ma
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Yuan Zhou
82 publications
Emma Brunskill
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Jian Peng
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Yining Wang
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Xiaoyu Chen
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Jiaqi Yang
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Yingkai Li
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∙ 06/28/2023

Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time

Despite recent theoretical progress on the non-convex optimization of tw...

0 Arvind Mahankali, et al. ∙

∙ 04/29/2023

Toward L_∞-recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields

Many machine learning applications require learning a function with a sm...

0 Kefan Dong, et al. ∙

∙ 01/26/2023

Model-based Offline Reinforcement Learning with Local Misspecification

We present a model-based offline reinforcement learning policy performan...

0 Kefan Dong, et al. ∙

∙ 11/21/2022

First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains

Real-world machine learning applications often involve deploying neural ...

0 Kefan Dong, et al. ∙

∙ 06/06/2022

Asymptotic Instance-Optimal Algorithms for Interactive Decision Making

Past research on interactive decision making problems (bandits, reinforc...

0 Kefan Dong, et al. ∙

∙ 07/21/2021

Design of Experiments for Stochastic Contextual Linear Bandits

In the stochastic linear contextual bandit setting there exist several m...

0 Andrea Zanette, et al. ∙

∙ 02/08/2021

Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature

This paper studies model-based bandit and reinforcement learning (RL) wi...

0 Kefan Dong, et al. ∙

∙ 08/21/2020

Refined Analysis of FPL for Adversarial Markov Decision Processes

We consider the adversarial Markov Decision Process (MDP) problem, where...

5 Yuanhao Wang, et al. ∙

∙ 07/09/2020

Multinomial Logit Bandit with Low Switching Cost

We study multinomial logit bandit with limited adaptivity, where the alg...

4 Kefan Dong, et al. ∙

∙ 10/14/2019

Bootstrapping the Expressivity with Model-based Planning

We compare the model-free reinforcement learning with the model-based ap...

16 Kefan Dong, et al. ∙

∙ 09/05/2019

√(n)-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank

In this paper, we consider the problem of online learning of Markov deci...

4 Kefan Dong, et al. ∙

∙ 06/10/2019

Exploration via Hindsight Goal Generation

Goal-oriented reinforcement learning has recently been a practical frame...

6 Zhizhou Ren, et al. ∙

∙ 01/27/2019

Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP

A fundamental question in reinforcement learning is whether model-free a...

0 Kefan Dong, et al. ∙

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