1 citations · 1 across the 4 of their papers we have counts for
5 papers
One Pretrained Decision Model Is Enough for Training-Free Generalist Graph Anomaly Detection
Xinyu Zhao, Qingyun Sun, Ziwei Zhang +3
Graph anomaly detection (GAD) aims to identify irregular entities in graph-structured data, yet heterogeneous anomaly patterns and distributional differences across graphs challeng…
SDA-PLANNER: State-Dependency Aware Adaptive Planner for Embodied Task Planning
Zichao Shen, Chen Gao, Jiaqi Yuan +3
Embodied task planning requires agents to produce executable actions in a close-loop manner within the environment. With progressively improving capabilities of LLMs in task decomp…
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers
Tianyu Chen, Haoyi Zhou, Ying Li +5
Fourier Neural Operators (FNO) have emerged as promising solutions for efficiently solving partial differential equations (PDEs) by learning infinite-dimensional function mappings…
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning
Pusen Dong, Tianchen Zhu, Yue Qiu +2
Safe reinforcement learning (RL) requires the agent to finish a given task while obeying specific constraints. Giving constraints in natural language form has great potential for p…
Beyond Human Preferences: Exploring Reinforcement Learning Trajectory Evaluation and Improvement through LLMs
Zichao Shen, Tianchen Zhu, Qingyun Sun +2
Reinforcement learning (RL) faces challenges in evaluating policy trajectories within intricate game tasks due to the difficulty in designing comprehensive and precise reward funct…