Wenhao Zhan
12 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (27) 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (58)
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Prolific Year · Productive
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(8)
Reinforcement Learning
(5)
Methods
(5)
Artificial Intelligence
(4)
Natural Language Processing
(3)
Generation
(3)
Learning Types · Machine Learning
(3)
Deep Learning
(2)
Core AI
(2)
Learning Paradigms
(2)
Application Areas
(1)
Architectures
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
sample complexity
(5)
reinforcement learning
(3)
function approximation
(3)
offline reinforcement learning
(3)
policy optimization
(2)
no-regret learning
(2)
preference-based reinforcement learning
(2)
language model alignment
(1)
online learning
(1)
robust optimization
(1)
preference optimization
(1)
language modeling
(1)
vc dimension
(1)
adaptive sampling
(1)
natural policy gradient
(1)
regret minimization
(1)
markov decision process
(1)
empirical risk minimization
(1)
reinforcement learning from human feedback
(1)
preference learning
(1)
Papers
Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization
ICLR 2025
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank
ICLR 2025
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
ICLR 2025
Optimal Multi-Distribution Learning
COLT 2024
Provable Offline Preference-Based Reinforcement Learning
ICLR 2024
Provable Reward-Agnostic Preference-Based Reinforcement Learning
ICLR 2024
Provably Efficient CVaR RL in Low-rank MDPs
ICLR 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards
NeurIPS 2024
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games
ICLR 2023
PAC Reinforcement Learning for Predictive State Representations
ICLR 2023
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning
NeurIPS 2023
Offline Reinforcement Learning with Realizability and Single-policy Concentrability
COLT 2022