Qiwen Cui
14 papers · 2020–2024 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird ποΈ Keyword Collector (51)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Keywords
sample complexity
(7)
nash equilibrium
(6)
offline reinforcement learning
(5)
multi-agent reinforcement learning
(4)
markov game
(4)
congestion game
(3)
regret bound
(3)
bandit feedback
(2)
markov decision process
(2)
model-based reinforcement learning
(2)
game theory
(2)
reinforcement learning
(2)
multi-agent system
(2)
optimistic exploration
(1)
minimax bounds
(1)
linear function approximation
(1)
convergence rate
(1)
value function approximation
(1)
online algorithm
(1)
eluder dimension
(1)
Papers
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
ICLR 2024
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
ICLR 2024
Learning Optimal Tax Design in Nonatomic Congestion Games
NeurIPS 2024
Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract)
COLT 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
Learning in Congestion Games with Bandit Feedback
NeurIPS 2022
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
NeurIPS 2022
On Gap-dependent Bounds for Offline Reinforcement Learning
NeurIPS 2022
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus
NeurIPS 2022
When are Offline Two-Player Zero-Sum Markov Games Solvable?
NeurIPS 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?
NeurIPS 2020