Canzhe Zhao
9 papers · 2022–2026 · 7 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Silver
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Interdisciplinary Bridge Β· Silver
πΊοΈ
Taxonomy Completionist
(19)
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Grand Slam
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Research topics
Keywords
regret bound
(7)
adversarial learning
(3)
bandit feedback
(3)
multi-armed bandit
(2)
imperfect information extensive-form game
(2)
reinforcement learning
(2)
policy optimization
(2)
linear function approximation
(2)
nash equilibrium
(2)
learning to rank
(1)
stochastic process
(1)
online mirror descent
(1)
zero-sum game
(1)
adversarial corruption
(1)
last-iterate convergence
(1)
linear bandit
(1)
linear mdp
(1)
adversarial loss
(1)
cooperative game
(1)
low-rank mdp
(1)
Papers
Policy Optimization for Adversarial Linear Mixture MDPs with Unknown Transitions and Bandit Feedback
UAI 2026
Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback
ICML 2025
Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions
AAAI 2025
Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation
UAI 2025
Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm
COLT 2023
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning
IJCAI 2023
Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition
ICLR 2023
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback
NeurIPS 2023
Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model
AAAI 2022