Kefan Dong

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 25

Top Topics

Action Selection

Reinforcement Learning

Function Approximation

Top Venues

Publications

Kefan Dong, Tengyu Ma
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains. ICLR (2023)
Arvind Mahankali, Haochen Zhang, Kefan Dong, Margalit Glasgow, Tengyu Ma
Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time. NeurIPS (2023)
Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill
Model-Based Offline Reinforcement Learning with Local Misspecification. AAAI (2023)
Kefan Dong, Tengyu Ma
Asymptotic Instance-Optimal Algorithms for Interactive Decision Making. ICLR (2023)
Kefan Dong, Tengyu Ma
Toward L_∞Recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields. COLT (2023)
Kefan Dong, Tengyu Ma
-recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields. CoRR (2023)
Arvind Mahankali, Jeff Z. HaoChen, Kefan Dong, Margalit Glasgow, Tengyu Ma
Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time. CoRR (2023)
Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill
Model-based Offline Reinforcement Learning with Local Misspecification. CoRR (2023)
Kefan Dong, Tengyu Ma
Asymptotic Instance-Optimal Algorithms for Interactive Decision Making. CoRR (2022)
Kefan Dong, Tengyu Ma
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains. CoRR (2022)
Andrea Zanette, Kefan Dong, Jonathan N. Lee, Emma Brunskill
Design of Experiments for Stochastic Contextual Linear Bandits. CoRR (2021)
Kefan Dong, Jiaqi Yang, Tengyu Ma
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature. NeurIPS (2021)
Kefan Dong, Jiaqi Yang, Tengyu Ma
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature. CoRR (2021)
Andrea Zanette, Kefan Dong, Jonathan N. Lee, Emma Brunskill
Design of Experiments for Stochastic Contextual Linear Bandits. NeurIPS (2021)
Kefan Dong, Yuping Luo, Tianhe Yu, Chelsea Finn, Tengyu Ma
On the Expressivity of Neural Networks for Deep Reinforcement Learning. ICML (2020)
Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou
Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. COLT (2020)
Kefan Dong, Yingkai Li, Qin Zhang, Yuan Zhou
Multinomial Logit Bandit with Low Switching Cost. CoRR (2020)
Kefan Dong, Yingkai Li, Qin Zhang, Yuan Zhou
Multinomial Logit Bandit with Low Switching Cost. ICML (2020)
Yuanhao Wang, Kefan Dong, Xiaoyu Chen, Liwei Wang
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. ICLR (2020)
Yuanhao Wang, Kefan Dong
Refined Analysis of FPL for Adversarial Markov Decision Processes. CoRR (2020)
Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou
√n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. CoRR (2019)
Kefan Dong, Yuanhao Wang, Xiaoyu Chen, Liwei Wang
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. CoRR (2019)
Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng
Exploration via Hindsight Goal Generation. NeurIPS (2019)
Kefan Dong, Yuping Luo, Tengyu Ma
Bootstrapping the Expressivity with Model-based Planning. CoRR (2019)
Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng
Exploration via Hindsight Goal Generation. CoRR (2019)