Yiqin Yang
15 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (22) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(10)
π
Grand Slam
π¬
Deep Specialist
(10)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(71)
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Reinforcement Learning
(15)
Methods
(15)
Machine Learning
(8)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(5)
Deep Learning
(4)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(3)
Applications
(2)
Mathematics & Optimization
(1)
Robotics
(1)
Bayesian & Probabilistic
(1)
Capabilities
(1)
Learning Paradigms
(1)
Keywords
offline reinforcement learning
(7)
policy optimization
(2)
reward-free data
(2)
contrastive learning
(2)
extrapolation error
(2)
deep reinforcement learning
(2)
value function
(1)
behavior cloning
(1)
semi-supervised learning
(1)
latent state space
(1)
self-supervised learning
(1)
discount factor
(1)
sample efficiency
(1)
episodic memory
(1)
value estimation
(1)
model-based reinforcement learning
(1)
query selection
(1)
online reinforcement learning
(1)
optimism
(1)
hierarchical learning
(1)
Papers
MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios
AAAI 2026
CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries
ICML 2025
Episodic Novelty Through Temporal Distance
ICLR 2025
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
ICLR 2025
S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learning
IJCAI 2025
Bayesian Design Principles for Offline-to-Online Reinforcement Learning
ICML 2024
Learning Diverse Risk Preferences in Population-Based Self-Play
AAAI 2024
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning
AAAI 2024
Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners
ICML 2024
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery
AAAI 2023
The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
ICLR 2023
Unsupervised Behavior Extraction via Random Intent Priors
NeurIPS 2023
Offline Reinforcement Learning with Value-based Episodic Memory
ICLR 2022
On the Role of Discount Factor in Offline Reinforcement Learning
ICML 2022
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
NeurIPS 2021