3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.RO2026
High-Precision Formation Control for Heterogeneous Multi-Robot Systems via Hierarchical Hybrid Physics-Informed Deep Reinforcement Learning
Yanzhou Li, Guangli Chen, Xiao-Meng Li +3
Existing classical control methods commonly require precise models and struggle to cope with model uncertainties and external disturbances, while end-to-end reinforcement learning…
cs.LG2021★ 3 cited
Masked Conditional Random Fields for Sequence Labeling
Tianwen Wei, Jianwei Qi, Shenghuan He +1
Conditional Random Field (CRF) based neural models are among the most performant methods for solving sequence labeling problems. Despite its great success, CRF has the shortcoming…