Boxiang Lyu
8 papers · 2022–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(19)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(6)
Reinforcement Learning
(5)
Methods
(5)
Artificial Intelligence
(4)
Core AI
(4)
Mathematics & Optimization
(3)
Learning Types
(3)
Optimization & Theory
(3)
Applications · Reinforcement Learning
(2)
Optimization
(2)
Data Science & Analytics
(1)
Application Areas
(1)
Applications · Data Science & Analytics
(1)
Core Methods
(1)
Mathematics
(1)
Keywords
markov decision process
(3)
reinforcement learning
(3)
multi-armed bandit
(2)
regret bound
(2)
vcg mechanism
(2)
dynamic mechanism design
(2)
linear function approximation
(1)
bayesian linear regression
(1)
offline reinforcement learning
(1)
click-through rate
(1)
welfare maximization
(1)
linear mdp
(1)
markov game
(1)
pessimistic value iteration
(1)
information gain
(1)
shapley value
(1)
ad auction
(1)
ranking loss
(1)
reward-free exploration
(1)
condition number
(1)
Papers
A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design
JMLR 2026
An Instrumental Value for Data Production and its Application to Data Pricing
ICML 2025
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach
JMLR 2024
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning
ICML 2024
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm
ICML 2023
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning
AISTATS 2023
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
ICML 2023
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
ICML 2022