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Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal
  Point Processes
v1v2 (latest)

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes

AAAI Conference on Artificial Intelligence (AAAI), 2022
29 January 2022
Chao Qu
Jue Chen
Siqiao Xue
Xiaoming Shi
James Y. Zhang
Hongyuan Mei
    OffRL
ArXiv (abs)PDFHTMLGithub

Papers citing "Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes"

5 / 5 papers shown
Neural Spatiotemporal Point Processes: Trends and Challenges
Neural Spatiotemporal Point Processes: Trends and Challenges
Sumantrak Mukherjee
Mouad Elhamdi
George Mohler
David Selby
Yao Xie
Sebastian Vollmer
Gerrit Grossmann
AI4TS
876
2
0
13 Feb 2025
Deep Optimal Timing Strategies for Time Series
Deep Optimal Timing Strategies for Time Series
Chen Pan
Fan Zhou
Xuanwei Hu
Xinxin Zhu
Wenxin Ning
Zi Zhuang
Siqiao Xue
James Y. Zhang
Yun Hu
AI4TS
197
4
0
09 Oct 2023
Enhancing Asynchronous Time Series Forecasting with Contrastive
  Relational Inference
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference
Yan Wang
Zhixuan Chu
Tao Zhou
Caigao Jiang
Hongyan Hao
...
Daixin Wang
Longfei Li
James Y. Zhang
Siqiao Xue
Junqing Zhou
BDLAI4TS
797
0
0
06 Sep 2023
SLOTH: Structured Learning and Task-based Optimization for Time Series
  Forecasting on Hierarchies
SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on HierarchiesAAAI Conference on Artificial Intelligence (AAAI), 2023
Fang-le Zhou
Chenle Pan
Lintao Ma
Yu Liu
Shiyu Wang
...
Xu Hu
Yun Hu
Yang Zheng
Lei Lei
Yun Hu
296
8
0
11 Feb 2023
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
482
14
0
05 Jun 2021
1
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