Qinghua Liu
20 papers · 2020–2025 · 7 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
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πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(12)
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Topic Evolution
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Keyword Champion
(2)
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Triple Crown
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Renaissance Researcher
(6)
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Unstoppable Β· Bronze
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The Questioner
(3)
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(90)
Top co-authors
Research topics
Machine Learning
(15)
Artificial Intelligence
(12)
Optimization & Theory
(12)
Core AI
(10)
Reinforcement Learning
(9)
Methods
(9)
Learning Types Β· Machine Learning
(6)
Learning Paradigms
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Computer Vision
(1)
Keywords
sample complexity
(7)
nash equilibrium
(6)
markov game
(5)
multi-agent reinforcement learning
(4)
reinforcement learning
(3)
bellman eluder dimension
(2)
sample-efficient learning
(2)
maximum likelihood estimation
(2)
function approximation
(2)
regret bound
(2)
zero-sum game
(2)
latent state
(2)
coarse correlated equilibrium
(2)
large language model
(2)
partially observable markov decision process
(2)
policy optimization
(2)
multi-agent learning
(2)
game theory
(2)
in-context learning
(1)
natural policy gradient
(1)
Papers
Evaluating the Long-Term Memory of Large Language Models
ACL 2025
Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment
ICML 2025
The Belief State Transformer
ICLR 2025
DCoT: Dual Chain-of-Thought Prompting for Large Multimodal Models
ACML 2024
The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark
NeurIPS 2024
Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation
COLT 2023
Context-lumpable stochastic bandits
NeurIPS 2023
Is RLHF More Difficult than Standard RL? A Theoretical Perspective
NeurIPS 2023
Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL
NeurIPS 2023
PIAVE: A Pose-Invariant Audio-Visual Speaker Extraction Network
Interspeech 2023
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits
ICML 2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence
NeurIPS 2022
Sample-Efficient Reinforcement Learning of Partially Observable Markov Games
NeurIPS 2022
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
ICML 2022
When Is Partially Observable Reinforcement Learning Not Scary?
COLT 2022
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
ICML 2021
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
NeurIPS 2021
Provable Rich Observation Reinforcement Learning with Combinatorial Latent States
ICLR 2021
Sample-Efficient Reinforcement Learning of Undercomplete POMDPs
NeurIPS 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
NeurIPS 2020