Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems
원문 초록
Multi-agent control is a central theme in the Cyber-Physical Systems (CPS). However, current control methods either receive non-Markovian states due to insufficient sensing and decentralized design, or suffer from poor convergence. This paper presents the Delayed Propagation Transformer (DePT), a new transformer-based model that specializes in the global modeling of CPS while taking into account the immutable constraints from the physical world. DePT induces a cone-shaped spatial-temporal attention prior, which injects the information propagation and aggregation principles and enables a global view. With physical constraint inductive bias baked into its design, our DePT is ready to plug and play for a broad class of multi-agent systems. The experimental results on one of the most challenging CPS -- network-scale traffic signal control system in the open world -- show that our model outperformed the state-of-the-art expert methods on synthetic and real-world datasets. Our codes are released at: https://github.com/VITA-Group/DePT.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification
Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation
Parameter-free approximate equivariance for tasks with finite group symmetry
Positional Encoding meets Persistent Homology on Graphs
Information Locality as an Inductive Bias for Neural Language Models
토론
이 논문과 연결된 포럼 글이 아직 없습니다.