:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Kotecha, Niki, Chanona, Ehecatl Antonio del Rio
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2509.06490
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Leveraging Graph Neural Networks and Multi-Agent Reinforcement Learning for Inventory Control in Supply Chains
por: Kotecha, Niki, et al.
Publicado: (2024)

Survey and Tutorial of Reinforcement Learning Methods in Process Systems Engineering
por: Bloor, Maximilian, et al.
Publicado: (2025)

Addressing Terminal Constraints in Data-Driven Demand Response Scheduling
por: Bloor, Maximilian, et al.
Publicado: (2026)

Reinforcement learning meets bioprocess control through behaviour cloning: Real-world deployment in an industrial photobioreactor
por: Gil, Juan D., et al.
Publicado: (2025)

Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation
por: Rachman, Rifny, et al.
Publicado: (2025)

Human-Algorithm Collaborative Bayesian Optimization for Engineering Systems
por: Savage, Tom, et al.
Publicado: (2024)

Learning with Embedded Linear Equality Constraints via Variational Bayesian Inference
por: Marsh, Matthew, et al.
Publicado: (2026)

FAIR-MATCH: A Multi-Objective Framework for Bias Mitigation in Reciprocal Dating Recommendations
por: Kotecha, Madhav
Publicado: (2025)

ARRTOC: Adversarially Robust Real-Time Optimization and Control
por: Ahmed, Akhil, et al.
Publicado: (2023)

Sketch2Simulation: Automating Flowsheet Generation via Multi Agent Large Language Models
por: Bahamdan, Abdullah, et al.
Publicado: (2026)

From Feasible to Practical: Pareto-Optimal Synthesis Planning
por: Hastedt, Friedrich, et al.
Publicado: (2026)

Control-Informed Reinforcement Learning for Chemical Processes
por: Bloor, Maximilian, et al.
Publicado: (2024)

Data-driven Koopman MPC using Mixed Stochastic-Deterministic Tubes
por: Zhong, Zhengang, et al.
Publicado: (2025)

Adaptive Inventory Strategies using Deep Reinforcement Learning for Dynamic Agri-Food Supply Chains
por: Kaur, Amandeep, et al.
Publicado: (2025)

Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization
por: Honari, Homayoun, et al.
Publicado: (2024)

Real-Time Gait Adaptation for Quadrupeds using Model Predictive Control and Reinforcement Learning
por: Kotecha, Prakrut, et al.
Publicado: (2025)

Are Large Language Models a Threat to Digital Public Goods? Evidence from Activity on Stack Overflow
por: del Rio-Chanona, Maria, et al.
Publicado: (2023)

Can Generative AI agents behave like humans? Evidence from laboratory market experiments
por: del Rio-Chanona, R. Maria, et al.
Publicado: (2025)

TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification
por: Huang, Qi, et al.
Publicado: (2024)

MALBO: Optimizing LLM-Based Multi-Agent Teams via Multi-Objective Bayesian Optimization
por: Sabbatella, Antonio
Publicado: (2025)

Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses
por: Espinel-Ríos, Sebastián, et al.
Publicado: (2025)

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies
por: Bai, Haoyue, et al.
Publicado: (2025)

Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
por: Deutel, Mark, et al.
Publicado: (2023)

Balancing Rewards in Text Summarization: Multi-Objective Reinforcement Learning via HyperVolume Optimization
por: Song, Junjie, et al.
Publicado: (2025)

PROPEL: Supervised and Reinforcement Learning for Large-Scale Supply Chain Planning
por: Akhlaghi, Vahid Eghbal, et al.
Publicado: (2025)

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization
por: Qi, Biqing, et al.
Publicado: (2024)

Hierarchical RL-MPC for Demand Response Scheduling
por: Bloor, Maximilian, et al.
Publicado: (2025)

Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization
por: van Remmerden, Jesse, et al.
Publicado: (2024)

Optimizing Multi-Tier Supply Chain Ordering with LNN+XGBoost: Mitigating the Bullwhip Effect
por: Tong, Chunan
Publicado: (2025)

Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
por: Zhang, Zhenshuo, et al.
Publicado: (2025)

Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning
por: Tan, Jing, et al.
Publicado: (2024)

Multi-Objective Reinforcement Learning for Water Management
por: Osika, Zuzanna, et al.
Publicado: (2025)

Demonstration Guided Multi-Objective Reinforcement Learning
por: Lu, Junlin, et al.
Publicado: (2024)

Reinforcement Learning for Autonomous Warehouse Orchestration in SAP Logistics Execution: Redefining Supply Chain Agility
por: Pillella, Sumanth
Publicado: (2025)

Multi-Agent Reinforcement Learning with Long-Term Performance Objectives for Service Workforce Optimization
por: Eissa, Kareem, et al.
Publicado: (2025)

Preference Conditioned Multi-Objective Reinforcement Learning: Decomposed, Diversity-Driven Policy Optimization
por: Ambadkar, Tanmay, et al.
Publicado: (2026)

Multi-Objective Deep Reinforcement Learning for Optimisation in Autonomous Systems
por: Rosero, Juan C., et al.
Publicado: (2024)

Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems
por: Zhang, Yi, et al.
Publicado: (2025)

Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm
por: Bai, Qinbo, et al.
Publicado: (2021)

Optimizing Supply Chain Management using Gravitational Search Algorithm and Multi Agent System
por: Ojha, Muneendra
Publicado: (2012)