Qiwen Cui
14 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (11) πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5)
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Interdisciplinary Bridge
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Unstoppable
(5)
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Prolific Year
(5)
π
Century Club
(14)
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The Questioner
(2)
Conferences
NIPS (7)
ICLR (3)
COLT (2)
ICML (1)
UAI (1)
Top co-authors
Keywords
sample complexity
(6)
nash equilibrium
(4)
multi-agent reinforcement learning
(3)
markov game
(3)
offline reinforcement learning
(3)
markov decision process
(2)
game theory
(2)
congestion game
(2)
reinforcement learning
(2)
multi-agent system
(2)
regret bound
(2)
optimistic exploration
(1)
minimax bounds
(1)
minimax optimal
(1)
bandit feedback
(1)
linear function approximation
(1)
zero-sum game
(1)
value function approximation
(1)
convergence rate
(1)
online algorithm
(1)
Papers
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
ICLR 2024
Learning Optimal Tax Design in Nonatomic Congestion Games
NIPS 2024
Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract)
COLT 2024
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
ICLR 2024
Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation
COLT 2023
Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement
ICLR 2023
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus
NIPS 2022
On Gap-dependent Bounds for Offline Reinforcement Learning
NIPS 2022
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
NIPS 2022
Learning in Congestion Games with Bandit Feedback
NIPS 2022
When are Offline Two-Player Zero-Sum Markov Games Solvable?
NIPS 2022
Minimax sample complexity for turn-based stochastic game
UAI 2021
Randomized Exploration in Reinforcement Learning with General Value Function Approximation
ICML 2021
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning?
NIPS 2020