Yun Qu
8 papers · 2023–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Interdisciplinary Bridge Β· Silver
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Taxonomy Completionist
(20)
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Hot Topic Early Bird
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(51)
Venues
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Research topics
Reinforcement Learning
(8)
Methods
(8)
Artificial Intelligence
(7)
Machine Learning
(6)
Core AI
(6)
Learning Types
(3)
Applications
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Core Methods
(1)
Learning Paradigms
(1)
Optimization
(1)
Optimization & Theory
(1)
Techniques
(1)
Keywords
offline reinforcement learning
(3)
multi-agent reinforcement learning
(2)
out-of-distribution action
(2)
policy learning
(2)
large language model
(2)
value overestimation
(2)
counterfactual reasoning
(1)
attention mechanism
(1)
multi-task learning
(1)
distribution shift
(1)
action selection
(1)
partial observability
(1)
state representation
(1)
cooperative learning
(1)
extrapolation error
(1)
dynamic programming
(1)
cooperative multi-agent
(1)
game ai
(1)
value function
(1)
policy optimization
(1)
Papers
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
ICML 2025
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
AAAI 2025
Doubly Mild Generalization for Offline Reinforcement Learning
NeurIPS 2024
LLM-Empowered State Representation for Reinforcement Learning
ICML 2024
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression
NeurIPS 2024
Complementary Attention for Multi-Agent Reinforcement Learning
ICML 2023
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
NeurIPS 2023
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
NeurIPS 2023