Aug 4, 2023 · Our proposed TransformerLight method effectively addresses the challenges faced by offline reinforcement learning due to data distribution ...
Aug 10, 2023 · Additionally, the learn- ing process of TransformerLight is much more stable by replacing the residual connections with gated transformer blocks ...
[Show full abstract] network (STFGTN), which is based on an attention mechanism that integrates temporal and spatial features. This paper proposes an attention ...
A novel framework, namely TransformerLight, is introduced, which does not aim to fit into value functions by averaging all possible returns, but produces the ...
Cited by ; TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated Transformer. Q Wu*, M Li*, J Shen, L Lü, B Du, Zhang, Ke.
Apr 12, 2024 · TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated Transformer ; 影响因子：. 16.2 ; 发表刊物：.
TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated Transformer. Hits: Impact Factor:16.2. Journal:KDD '23: Proceedings of ...
TransformerLight TransformerLight Public. TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated Transformer (29th ACM SIGKDD).
2024. Transformerlight: A novel sequence modeling based traffic signaling mechanism via gated transformer. Q Wu, M Li, J Shen, L Lü, B Du, K Zhang. Proceedings ...
May 19, 2024 · TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated Transformer. ... based traffic signal control. ICML ...