A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms
- Weiqin Chen
- Mark Squillante
- et al.
- 2025
- AAAI 2025
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18 results for Mark S. Squillante
Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning
- Vasileios Kalantzis
- Mark Squillante
- et al.
- 2024
- Preconditioning 2024
Topological Data Analysis on Noisy Quantum Computers
- Ismail Akhalwaya
- Shashanka Ubaru
- et al.
- 2024
- ICLR 2024
Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning
- Vasileios Kalantzis
- Mark Squillante
- et al.
- 2023
- HPEC 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
Matrix Geometric Solutions with Quantum Speed-up for EV Battery Swapping Systems
- Nanshan Chen
- Mark Squillante
- et al.
- 2022
- INFORMS 2022
Distributionally Robust Optimization for Input Model Uncertainty in Simulation-based Decision Making
- Soumyadip Ghosh
- Mark Squillante
- 2022
- INFORMS 2022
On Quantum Algorithms for Random Walks in the Nonnegative Quarter Plane
- Mark Squillante
- Vasileios Kalantzis
- et al.
- 2022
- INFORMS 2022
Efficient Distributionally Robust Learning via Unbiased Gradient Estimation
- Soumyadip Ghosh
- Mark Squillante
- 2022
- MDS 2022