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Xiangyang Ji — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Xiangyang Ji
41
papers ·
199
citations ·
48
h-index
Tsinghua University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition
2020 · 45 citations
Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function
2019 · 23 citations
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
2020 · 13 citations
Nearly Minimax Optimal Reward-free Reinforcement Learning
2020 · 11 citations
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning
2021 · 5 citations
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon
2020 · 4 citations
Skill Discovery of Coordination in Multi-agent Reinforcement Learning
2020 · 3 citations
Horizon-Free Reinforcement Learning in Polynomial Time: the Power of Stationary Policies
2022 · 2 citations
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
2023 · 2 citations
Reducing Conservativeness Oriented Offline Reinforcement Learning
2021 · 1 citations
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning
2022 · 1 citations
Supported Trust Region Optimization for Offline Reinforcement Learning
2023 · 1 citations
LLM-Empowered State Representation for Reinforcement Learning
2024 · 1 citations
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
2024 · 1 citations
Doubly Mild Generalization for Offline Reinforcement Learning
2024 · 1 citations
Top co-authors
Jianzhun Shao
· 7
Yun Qu
· 6
Yuhang Jiang
· 5
Boyuan Wang
· 4
Hongchang Zhang
· 4
Yixiu Mao
· 4
Zihan Zhang
· 4
Chen Chen
· 3
Shuncheng He
· 3
Simon S. Du
· 3
Chang Liu
· 2
Cheems Wang
· 2
Topics
Model-Based RL
Value-Based
Exploration
Multi-Agent
Offline RL
Safe RL
Policy Gradient
Meta-RL
Game AI
RLHF & Alignment