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Tong Zhang — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Tong Zhang
22
papers ·
238
citations ·
28
h-index
University of Illinois Urbana-Champaign · Nanjing University of Science and Technology · University of Chinese Academy of Sciences
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Most-cited papers
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
2018 · 152 citations
Divergence-Augmented Policy Optimization
2025 · 10 citations
A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes
2023 · 7 citations
RLHF Workflow: From Reward Modeling to Online RLHF
2024 · 3 citations
Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling
2022 · 2 citations
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game
2022 · 2 citations
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning
2022 · 2 citations
GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond
2022 · 2 citations
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
2023 · 2 citations
Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency
2023 · 1 citations
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
2022
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes
2022
VO$Q$L: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation
2022
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation
2023
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
2024
Top co-authors
Han Zhong
· 6
Wei Xiong
· 3
Zhuoran Yang
· 3
Alekh Agarwal
· 2
Chengshuai Shi
· 2
Chenlu Ye
· 2
Cong Shen
· 2
Jiechao Xiong
· 2
Liwei Wang
· 2
Quanquan Gu
· 2
and Han Liu
· 1
Bo Pang
· 1
Topics
Model-Based RL
Value-Based
Game AI
Exploration
Offline RL
Multi-Agent
Policy Gradient
Safe RL
RLHF & Alignment