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Xiaojin Zhu — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Xiaojin Zhu
15
papers ·
270
citations ·
58
h-index
Shanghai University · University of Wisconsin–Madison
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Policy Poisoning in Batch Reinforcement Learning and Control
2019 · 43 citations
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
2020 · 37 citations
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
2020 · 34 citations
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments
2021 · 16 citations
Robust Policy Gradient against Strong Data Corruption
2021 · 10 citations
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks
2020 · 8 citations
Provable Defense against Backdoor Policies in Reinforcement Learning
2022 · 7 citations
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners
2020 · 6 citations
Byzantine-Robust Online and Offline Distributed Reinforcement Learning
2022 · 2 citations
The Sample Complexity of Teaching-by-Reinforcement on Q-Learning
2020 · 1 citations
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning
2022 · 1 citations
Anytime-Constrained Reinforcement Learning
2023 · 1 citations
Data Poisoning to Fake a Nash Equilibrium in Markov Games
2023
Optimal Attack and Defense for Reinforcement Learning
2023
Top co-authors
Xuezhou Zhang
· 8
Adish Singla
· 6
Jeremy McMahan
· 4
Yuzhe Ma
· 4
Amin Rakhsha
· 3
Qiaomin Xie
· 3
Young Wu
· 3
Goran Radanovic
· 2
Rati Devidze
· 2
Shubham Kumar Bharti
· 2
Wen Sun
· 2
Yiding Chen
· 2
Topics
Safe RL
Offline RL
Value-Based
Multi-Agent
Game AI
Policy Gradient
Exploration
RLHF & Alignment
Model-Based RL
Meta-RL