1 citations · 2 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
OmniArch: Building Foundation Model For Scientific Computing
Tianyu Chen, Haoyi Zhou, Ying Li +5
Foundation models have revolutionized language modeling, while whether this success is replicated in scientific computing remains unexplored. We present OmniArch, the first prototy…
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization
Ziqi Yuan, Haoyi Zhou, Tianyu Chen +1
A multitude of toxic online behaviors, ranging from network attacks to anonymous traffic and spam, have severely disrupted the smooth operation of networks. Due to the inherent sen…