4 citations · 4 across the 6 of their papers we have counts for
6 papers
SRG: Score-based Relaxation-guided Generation for Mixed Integer Linear Programming
Ruobing Wang, Xin Li, Yujie Fang +1
We propose Score-based Relaxation-guided Generation (SRG), a generative framework based on an approximate formulation of relaxation-guided stochastic differential equations (SDEs)…
Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization
Min Wang, Xin Li, Mingzhong Wang +1
Offline meta-reinforcement learning (OMRL) combines the strengths of learning from diverse datasets in offline RL with the adaptability to new tasks of meta-RL, promising safe and…
Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
Min Wang, Xin Li, Ye He +4
The real world is inherently non-stationary, with ever-changing factors, such as weather conditions and traffic flows, making it challenging for agents to adapt to varying environm…
Robust Deep Signed Graph Clustering via Weak Balance Theory
Peiyao Zhao, Xin Li, Zeyu Zhang +3
Signed graph clustering is a critical technique for discovering community structures in graphs that exhibit both positive and negative relationships. We have identified two signifi…
Towards Control-Centric Representations in Reinforcement Learning from Images
Chen Liu, Hongyu Zang, Xin Li +5
Image-based Reinforcement Learning is a practical yet challenging task. A major hurdle lies in extracting control-centric representations while disregarding irrelevant information.…
Good Better Best: Self-Motivated Imitation Learning for noisy Demonstrations
Ye Yuan, Xin Li, Yong Heng +2
Imitation Learning (IL) aims to discover a policy by minimizing the discrepancy between the agent's behavior and expert demonstrations. However, IL is susceptible to limitations im…