In-Context Reinforcement Learning via Communicative World Models
- Fernando Martinez
- Tao Li
- et al.
- 2026
- IJCAI 2026
Conference paper
Publications
16 results for Yingdong Lu
Stackelberg Coupling of Online Representation Learning and Reinforcement Learning
- Fernando Martinez
- Tao Li
- et al.
- 2026
- ICLR 2026
Conference paperRelative Error of Scaled Poisson Approximation via Stein’s Method
- Yingdong Lu
- Yue Tan
- et al.
- 2026
- Methodology and Computing in Applied Probability
PaperA randomized algorithm for model-based sparse signal recovery
- Huiyuan Yu
- Maggie Cheng
- et al.
- 2026
- Journal of Global Optimization
PaperOptimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions
- Yanna Ding
- Songtao Lu
- et al.
- 2025
- NeurIPS 2025
Conference paperFast Linear Solvers via AI-Tuned Markov Chain Monte Carlo-based Matrix Inversion
- Anton Lebedev
- Winkyung Lee
- et al.
- 2025
- SC 2025
Workshop paperSPRIG: Stackelberg Perception-Reinforcement Learning with Internal Game Dynamics
- Fernando Martinez
- Juntao Chen
- et al.
- 2025
- AAAI 2025
Workshop paperFederated Learning for Discrete Optimal Transport with Large Population under Incomplete Information
- Juntao Chen
- Yingdong Lu
- 2024
- ISMP 2024
Invited talkOn Representations of Mean-Field Variational Inference
- Soumyadip Ghosh
- Yingdong Lu
- et al.
- 2023
- NeurIPS 2023
Workshop paperGeneral Markov Decision Process Framework for Directly Learning Optimal Control Policies
- 2023
- SIAM CT 2023
Conference paper