Picture for Mark S. Squillante

Mark S. Squillante

A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms

Add code
Jun 20, 2024
Figure 1 for A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms
Figure 2 for A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms
Figure 3 for A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms
Figure 4 for A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms
Viaarxiv icon

Obtaining Explainable Classification Models using Distributionally Robust Optimization

Add code
Nov 03, 2023
Figure 1 for Obtaining Explainable Classification Models using Distributionally Robust Optimization
Figure 2 for Obtaining Explainable Classification Models using Distributionally Robust Optimization
Figure 3 for Obtaining Explainable Classification Models using Distributionally Robust Optimization
Figure 4 for Obtaining Explainable Classification Models using Distributionally Robust Optimization
Viaarxiv icon

Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes

Add code
Jun 09, 2023
Viaarxiv icon

Towards Quantum Advantage on Noisy Quantum Computers

Add code
Sep 27, 2022
Figure 1 for Towards Quantum Advantage on Noisy Quantum Computers
Figure 2 for Towards Quantum Advantage on Noisy Quantum Computers
Figure 3 for Towards Quantum Advantage on Noisy Quantum Computers
Figure 4 for Towards Quantum Advantage on Noisy Quantum Computers
Viaarxiv icon

A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality

Add code
Feb 23, 2022
Figure 1 for A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality
Figure 2 for A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality
Figure 3 for A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality
Figure 4 for A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality
Viaarxiv icon

Quantum Topological Data Analysis with Linear Depth and Exponential Speedup

Add code
Aug 05, 2021
Figure 1 for Quantum Topological Data Analysis with Linear Depth and Exponential Speedup
Figure 2 for Quantum Topological Data Analysis with Linear Depth and Exponential Speedup
Figure 3 for Quantum Topological Data Analysis with Linear Depth and Exponential Speedup
Viaarxiv icon

A Control-Model-Based Approach for Reinforcement Learning

Add code
May 28, 2019
Figure 1 for A Control-Model-Based Approach for Reinforcement Learning
Figure 2 for A Control-Model-Based Approach for Reinforcement Learning
Figure 3 for A Control-Model-Based Approach for Reinforcement Learning
Viaarxiv icon

PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach

Add code
Jan 07, 2019
Figure 1 for PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach
Figure 2 for PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach
Figure 3 for PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach
Viaarxiv icon

A General Family of Robust Stochastic Operators for Reinforcement Learning

Add code
May 21, 2018
Figure 1 for A General Family of Robust Stochastic Operators for Reinforcement Learning
Figure 2 for A General Family of Robust Stochastic Operators for Reinforcement Learning
Figure 3 for A General Family of Robust Stochastic Operators for Reinforcement Learning
Viaarxiv icon