Cover Image

A Policy Gradient-Based Sequence-to-Sequence Method for Time Series Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sima, Qi, Zhang, Xinze, Bao, Yukun, Yang, Siyue, Shen, Liang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Temporally Unified Adversarial Perturbations for Time Series Forecasting
by: Su, Ruixian, et al.
Published: (2026)

Continuous-Time Attention: PDE-Guided Mechanisms for Long-Sequence Transformers
by: Zhang, Yukun, et al.
Published: (2025)

Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences
by: Chen, Xiwen, et al.
Published: (2025)

ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction
by: Tayal, Kshitij, et al.
Published: (2024)

Rethinking Recurrent Neural Networks for Time Series Forecasting: A Reinforced Recurrent Encoder with Prediction-Oriented Proximal Policy Optimization
by: Lai, Xin, et al.
Published: (2026)

Concrete Dense Network for Long-Sequence Time Series Clustering
by: Taloma, Redemptor Jr Laceda, et al.
Published: (2024)

Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates
by: Yang, Linxiao, et al.
Published: (2026)

A Set-Sequence Model for Time Series
by: Epstein, Elliot L., et al.
Published: (2025)

SAGE: Sequence-level Adaptive Gradient Evolution for Generative Recommendation
by: Xie, Yu, et al.
Published: (2026)

Long Input Sequence Network for Long Time Series Forecasting
by: Ma, Chao, et al.
Published: (2024)

Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
by: Burchert, Johannes, et al.
Published: (2024)

TwinFormer: A Dual-Level Transformer for Long-Sequence Time-Series Forecasting
by: Kumavat, Mahima, et al.
Published: (2025)

Soft Sequence Policy Optimization
by: Glazyrina, Svetlana, et al.
Published: (2026)

Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing
by: Zhang, Xiang, et al.
Published: (2025)

Group Sequence Policy Optimization
by: Zheng, Chujie, et al.
Published: (2025)

Bridging Sequence and Graph Structure for Epigenetic Age Prediction
by: Li, Yao, et al.
Published: (2026)

Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting
by: Aguilera-Martos, Ignacio, et al.
Published: (2024)

Orchestrating Tokens and Sequences: Dynamic Hybrid Policy Optimization for RLVR
by: Min, Zijun, et al.
Published: (2026)

Fixation Sequences as Time Series: A Topological Approach to Dyslexia Detection
by: Huber, Marius, et al.
Published: (2026)

Policy Gradient Guidance Enables Test Time Control
by: Qi, Jianing, et al.
Published: (2025)

Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining
by: Yan, Xu, et al.
Published: (2024)

Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured Matrix
by: Zhang, Zhicheng, et al.
Published: (2024)

Sequence Diffusion Model for Temporal Link Prediction in Continuous-Time Dynamic Graph
by: Duc, Nguyen Minh, et al.
Published: (2026)

VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
by: Shen, Guobin, et al.
Published: (2026)

Soft Policy Optimization: Online Off-Policy RL for Sequence Models
by: Cohen, Taco, et al.
Published: (2025)

GNNs Meet Sequence Models Along the Shortest-Path: an Expressive Method for Link Prediction
by: Ferrini, Francesco, et al.
Published: (2025)

The Power of Second Order Methods for Sequence Preconditioning
by: Marsden, Annie, et al.
Published: (2026)

JustDense: Just using Dense instead of Sequence Mixer for Time Series analysis
by: Park, TaekHyun, et al.
Published: (2025)

Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting
by: Tran, Nhat Thanh, et al.
Published: (2023)

Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation
by: Gan, Feichen, et al.
Published: (2025)

A Combination Model Based on Sequential General Variational Mode Decomposition Method for Time Series Prediction
by: Chen, Wei, et al.
Published: (2024)

Probabilistic Modeling for Sequences of Sets in Continuous-Time
by: Chang, Yuxin, et al.
Published: (2023)

Time-Series Forecasting and Sequence Learning Using Memristor-based Reservoir System
by: Zyarah, Abdullah M., et al.
Published: (2024)

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via
by: Liang, Yuanyuan, et al.
Published: (2025)

GSA-Forecaster: Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention
by: Li, Yang, et al.
Published: (2021)

Parallelizing Linear Transformers with the Delta Rule over Sequence Length
by: Yang, Songlin, et al.
Published: (2024)

EVIL: Evolving Interpretable Algorithms for Zero-Shot Inference on Event Sequences and Time Series with LLMs
by: Berghaus, David
Published: (2026)

Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models
by: Walker, Benjamin, et al.
Published: (2025)

A Lightweight Method to Disrupt Memorized Sequences in LLM
by: Prashant, Parjanya Prajakta, et al.
Published: (2025)

C$^2$GSPG: Confidence-calibrated Group Sequence Policy Gradient towards Self-aware Reasoning
by: Liu, Haotian, et al.
Published: (2025)