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Yuandong Tian — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yuandong Tian
12
papers ·
208
citations ·
35
h-index
Meta (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
2018 · 101 citations
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
2020 · 26 citations
BeBold: Exploration Beyond the Boundary of Explored Regions
2020 · 18 citations
MADE: Exploration via Maximizing Deviation from Explored Regions
2021 · 11 citations
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games
2021 · 2 citations
Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization
2022 · 1 citations
Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning
2024 · 1 citations
Inpainting-Guided Policy Optimization for Diffusion Large Language Models
2025
Top co-authors
Huazhe Xu
· 2
Simon S. Du
· 2
Tianjun Zhang
· 2
Aditya Grover
· 1
Amy Zhang
· 1
Bo Liu
· 1
Chenyu Wang
· 1
Feiyu Chen
· 1
Guan Pang
· 1
Jason D. Lee
· 1
Jiantao Jiao
· 1
Jing Huang
· 1
Topics
Model-Based RL
Exploration
Policy Gradient
Meta-RL
Game AI
RLHF & Alignment
Value-Based
Multi-Agent
Offline RL