Yiqin Yang

OPRIDE: Efficient Offline Preference-based Reinforcement Learning via In-Dataset Exploration

GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent System

COMPASS: Training-Free Guidance for Skill Discovery with Human Feedback

Episodic Novelty Through Temporal Distance

STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning

DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning

Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset

CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries

Fewer Questions, Better Answers: Efficient Offline Preference-based Reinforcement Learning via In-Dataset Exploration

Maximum Next-State Entropy for Efficient Reinforcement Learning