2 papers
cs.CL2025
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…
cs.LG2024
CLDG: Contrastive Learning on Dynamic Graphs
Yiming Xu, Bin Shi, Teng Ma +3
The graph with complex annotations is the most potent data type, whose constantly evolving motivates further exploration of the unsupervised dynamic graph representation. One of th…