Yun Qu
8 papers · 2023–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (14) π Renaissance Researcher (5) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(16)
π£
Hot Topic Early Bird
Conferences
NIPS (4)
ICML (3)
AAAI (1)
Top co-authors
Keywords
offline reinforcement learning
(3)
policy learning
(2)
value overestimation
(2)
out-of-distribution action
(2)
multi-agent reinforcement learning
(2)
dynamic programming
(1)
distribution shift
(1)
action selection
(1)
partial observability
(1)
counterfactual reasoning
(1)
cooperative learning
(1)
game ai
(1)
cooperative multi-agent
(1)
extrapolation error
(1)
in-sample learning
(1)
mild generalization
(1)
out-of-distribution state
(1)
credit assignment
(1)
centralized training decentralized execution
(1)
episodic reinforcement learning
(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
NIPS 2024
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression
NIPS 2024
LLM-Empowered State Representation for Reinforcement Learning
ICML 2024
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
NIPS 2023
Complementary Attention for Multi-Agent Reinforcement Learning
ICML 2023
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
NIPS 2023