:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Prescher, Timothy
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Optimization and Control
Online Access:	https://arxiv.org/abs/2512.15740
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Joint Planning of Charging Stations and Power Systems for Heavy-Duty Drayage Trucks
by: Ye, Zuzhao, et al.
Published: (2024)

Energy Management for Renewable-Colocated Artificial Intelligence Data Centers
by: Li, Siying, et al.
Published: (2025)

Distributionally Robust Free Energy Principle for Decision-Making
by: Shafiei, Allahkaram, et al.
Published: (2025)

The Mathematics of Artificial Intelligence
by: Peyré, Gabriel
Published: (2025)

A General Equilibrium Theory of Orchestrated AI Agent Systems
by: Garnier, Jean-Philippe
Published: (2026)

Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process
by: Fan, Zhenan, et al.
Published: (2024)

Congestion Reduction in EV Charger Placement Using Traffic Equilibrium Models
by: Kara, Semih, et al.
Published: (2025)

Solving Functional Optimization with Deep Networks and Variational Principles
by: Kamtue, Kawisorn, et al.
Published: (2024)

Human-in-the-Loop AI for HVAC Management Enhancing Comfort and Energy Efficiency
by: Liang, Xinyu, et al.
Published: (2025)

System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility
by: Saves, Paul, et al.
Published: (2025)

Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming
by: Bertsekas, Dimitri P.
Published: (2024)

Omni-scale Learning-based Sequential Decision Framework for Order Fulfillment of Tote-handling Robotic Systems
by: Liu, Jiaxin, et al.
Published: (2026)

A Discrete-Time Switching System Analysis of Q-learning
by: Lee, Donghwan, et al.
Published: (2021)

The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training
by: Wang, Jinbo, et al.
Published: (2025)

A Context-Free Smart Grid Model Using Complex System Approach
by: Amor, Soufian Ben, et al.
Published: (2025)

A Clustering-Based Variable Ordering Framework for Relaxed Decision Diagrams for Maximum Weighted Independent Set Problem
by: Nafar, Mohsen, et al.
Published: (2025)

Intelligent Duty Cycling Management and Wake-up for Energy Harvesting IoT Networks with Correlated Activity
by: Ruíz-Guirola, David E., et al.
Published: (2024)

ResearchEVO: An End-to-End Framework for Automated Scientific Discovery and Documentation
by: Zhao, Zhe, et al.
Published: (2026)

Toward Decision-Oriented Prognostics: An Integrated Estimate-Optimize Framework for Predictive Maintenance
by: Xie, Zhuojun, et al.
Published: (2025)

IoT-based Fresh Produce Supply Chain Under Uncertainty: An Adaptive Optimization Framework
by: Seth, Chirag, et al.
Published: (2025)

Temporal Robustness in Discrete Time Linear Dynamical Systems
by: Metya, Nilava, et al.
Published: (2025)

Approximate Information States for Worst-Case Control and Learning in Uncertain Systems
by: Dave, Aditya, et al.
Published: (2023)

Feasible Pairings for Decentralized Integral Controllability of Non-Square Systems
by: Tong, Yuhao, et al.
Published: (2026)

Unifying Controller Design for Stabilizing Nonlinear Systems with Norm-Bounded Control Inputs
by: Li, Ming, et al.
Published: (2024)

Large-scale Online Ridesharing: The Effect of Assignment Optimality on System Performance
by: Fiedler, David, et al.
Published: (2023)

A Method to Improve the Performance of Reinforcement Learning Based on the Y Operator for a Class of Stochastic Differential Equation-Based Child-Mother Systems
by: Yin, Cheng, et al.
Published: (2023)

Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers
by: Lau, Tim Tsz-Kit, et al.
Published: (2026)

Deep Reinforcement Learning Optimization for Uncertain Nonlinear Systems via Event-Triggered Robust Adaptive Dynamic Programming
by: Bai, Ningwei, et al.
Published: (2025)

From MIDI to Rich Tablatures: an Automatic Generative System incorporating Lead Guitarists' Fingering and Stylistic choices
by: Bontempi, Pierluigi, et al.
Published: (2024)

Knowledge Transfer based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis
by: Sharma, Arun K., et al.
Published: (2021)

Optimized Human-Robot Co-Dispatch Planning for Petro-Site Surveillance under Varying Criticalities
by: Khatim, Nur Ahmad, et al.
Published: (2026)

Maximum Principle of Optimal Probability Density Control
by: Gaby, Nathan, et al.
Published: (2025)

A Minimalist Bayesian Framework for Stochastic Optimization
by: Wang, Kaizheng
Published: (2025)

Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months
by: Rezk, Fady, et al.
Published: (2023)

Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert
by: Cory-Wright, Ryan, et al.
Published: (2023)

A Unified Framework for Gradient Aggregation in Multi-Objective Optimization
by: Hu, Zeou, et al.
Published: (2026)

Graphon Particle Systems, Part II: Dynamics of Distributed Stochastic Continuum Optimization
by: Chen, Yan, et al.
Published: (2024)

The Non-Optimality of Scientific Knowledge: Path Dependence, Lock-In, and The Local Minimum Trap
by: Mabrok, Mohamed
Published: (2026)

Near Optimal Convergence to Coarse Correlated Equilibrium in General-Sum Markov Games
by: Yorulmaz, Asrin Efe, et al.
Published: (2025)

Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and Foundations
by: Kungurtsev, Vyacheslav, et al.
Published: (2025)