Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions
- Yanna Ding
- Songtao Lu
- et al.
- 2025
- NeurIPS 2025
Publications
12 results for Yingdong Lu
Fast Linear Solvers via AI-Tuned Markov Chain Monte Carlo-based Matrix Inversion
- Anton Lebedev
- Winkyung Lee
- et al.
- 2025
- SC 2025
SPRIG: Stackelberg Perception-Reinforcement Learning with Internal Game Dynamics
- Fernando Martinez
- Juntao Chen
- et al.
- 2025
- AAAI 2025
Federated Learning for Discrete Optimal Transport with Large Population under Incomplete Information
- Juntao Chen
- Yingdong Lu
- 2024
- ISMP 2024
On Representations of Mean-Field Variational Inference
- Soumyadip Ghosh
- Yingdong Lu
- et al.
- 2023
- NeurIPS 2023
General Markov Decision Process Framework for Directly Learning Optimal Control Policies
- 2023
- SIAM CT 2023
Markov Decision Process Framework for Control-Based Reinforcement Learning
- 2023
- SIGMETRICS 2023
On A Stein Method Based Approximation for A Two-Dimensional Markov Chain
- 2023
- Appl. Math.
Optimal Control in Fluid Models of Stochastic Networks with Constraints
- Yingdong Lu
- Mark Squillante
- et al.
- 2020
- INFORMS 2020
A General Family of Robust Stochastic Operators for Reinforcement Learning
- 2019
- arXiv