:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Linyu, Dai, Zhen, Song, Shiji, Li, Xiaocheng, Chen, Guanting
Format:	Preprint
Published:	2023
Subjects:	Systems and Control Artificial Intelligence 90B06, 68T07
Online Access:	https://arxiv.org/abs/2310.04440
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains
by: Stranieri, Francesco, et al.
Published: (2022)

Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numerics
by: Liu, Kang, et al.
Published: (2024)

Moments, Time-Inversion and Source Identification for the Heat Equation
by: Liu, Kang, et al.
Published: (2025)

Privacy Preserving Mechanisms for Coordinating Airspace Usage in Advanced Air Mobility
by: Maheshwari, Chinmay, et al.
Published: (2024)

Justice-informed Planning of Intermodal Autonomous Mobility-on-Demand Systems under Operational Constraints
by: Ganassoli, Giacomo, et al.
Published: (2026)

Temporally Flexible Transport Scheduling on Networks with Departure-Arrival Constriction and Nodal Capacity Limits
by: Dong, Anqi, et al.
Published: (2026)

Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach
by: Su, Pan-Yang, et al.
Published: (2024)

Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach
by: Liu, Linyu, et al.
Published: (2024)

Faster Adaptive Optimization via Expected Gradient Outer Product Reparameterization
by: DePavia, Adela, et al.
Published: (2025)

Task Allocation for Multi-agent Systems via Unequal-dimensional Optimal Transport
by: Dong, Anqi, et al.
Published: (2025)

An Equilibrium Model for Schedule-Based Transit Networks with Hard Vehicle Capacities
by: Harks, Tobias, et al.
Published: (2024)

Effectively Leveraging Momentum Terms in Stochastic Line Search Frameworks for Fast Optimization of Finite-Sum Problems
by: Lapucci, Matteo, et al.
Published: (2024)

Convergence Conditions for Stochastic Line Search Based Optimization of Over-parametrized Models
by: Lapucci, Matteo, et al.
Published: (2024)

Multi-Graph Inductive Representation Learning for Large-Scale Urban Rail Demand Prediction under Disruptions
by: Nguyen, Dang Viet Anh, et al.
Published: (2024)

Sample-wise Constrained Learning via a Sequential Penalty Approach with Applications in Image Processing
by: Lanzillotta, Francesca, et al.
Published: (2026)

Two-level overlapping additive Schwarz preconditioner for training scientific machine learning applications
by: Lee, Youngkyu, et al.
Published: (2024)

Enhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies
by: Kopaničáková, Alena, et al.
Published: (2023)

Traffic Intersection Simulation Using Turning Movement Count Data in SUMO: A Case Study of Toronto Intersections
by: Maheshwari, Harshit, et al.
Published: (2025)

Optimizing Freight Rail Electrification: A Framework for Charge Station Selection and Battery Charge/Swap Scheduling
by: Guo, Jia, et al.
Published: (2025)

Intrinsic Stability: Global Stability of Dynamical Networks and Switched Systems Resilient to any Type of Time-Delays
by: Reber, David, et al.
Published: (2019)

Stable gradient-adjusted root mean square propagation on least squares problem
by: Li, Runze, et al.
Published: (2024)

A Matheuristic Multi-Start Algorithm for a Novel Static Repositioning Problem in Public Bike-Sharing Systems
by: Daza-Escorcia, Julio-Mario, et al.
Published: (2024)

An Exact Algorithm for Public Transport Line Planning Considering Passenger and Operational Costs and Lost Demand
by: Hansen, Siv Marie Cartland, et al.
Published: (2026)

Decentralized Optimization in Networks with Arbitrary Delays
by: Ortega, Tomas, et al.
Published: (2024)

Word-Representability of Graphs with respect to Split Recomposition
by: Dwary, Tithi, et al.
Published: (2024)

An Augmented Lagrangian Method for Training Recurrent Neural Networks
by: Wang, Yue, et al.
Published: (2024)

Data-Driven Approach for Accelerating Selective Harmonic Elimination Algorithm in Parallel Power Converters
by: Karimi, E., et al.
Published: (2024)

Lattice-Valued Bottleneck Duality
by: Ghrist, Robert, et al.
Published: (2024)

BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization
by: Zhang, Hengrui, et al.
Published: (2026)

A Two-Phase Adaptive Balanced Penalty Method for Controllable Pareto Front Learning under Split Feasibility Conditions
by: Hoang, Nguyen Viet, et al.
Published: (2026)

Supplementary Materials to Graph Convolutional Branch and Bound
by: Sciandra, Lorenzo, et al.
Published: (2024)

Quantum-Inspired DRL Approach with LSTM and OU Noise for Cut Order Planning Optimization
by: Chrisnanto, Yulison Herry, et al.
Published: (2025)

Stochastic versus Deterministic in Stochastic Gradient Descent
by: Li, Runze, et al.
Published: (2025)

Strategizing Equitable Transit Evacuations: A Data-Driven Reinforcement Learning Approach
by: Tang, Fang, et al.
Published: (2024)

Generating Realistic Safety-Critical Scenarios for Vehicle-Pedestrian Interactions
by: Pu, Qingwen, et al.
Published: (2026)

A canonical realization of the alt $ν$-associahedron
by: Ceballos, Cesar
Published: (2024)

Distributed Computing for Huge-Scale Aggregative Convex Programming
by: Tao, Luoyi
Published: (2026)

Power Homotopy for Zeroth-Order Non-Convex Optimizations
by: Xu, Chen
Published: (2025)

Global Optimization with A Power-Transformed Objective and Gaussian Smoothing
by: Xu, Chen
Published: (2024)

Accelerating preconditioned ADMM via degenerate proximal point mappings
by: Sun, Defeng, et al.
Published: (2024)