:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Pillella, Sumanth
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2506.06523
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
by: Krnjaic, Aleksandar, et al.
Published: (2022)

LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement Learning
by: Chen, Xudong, et al.
Published: (2026)

Validating Generative Agent-Based Models for Logistics and Supply Chain Management Research
by: Castillo, Vincent E.
Published: (2025)

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

Redefining Safety for Autonomous Vehicles
by: Koopman, Philip, et al.
Published: (2024)

Tutorial and Practice in Linear Programming: Optimization Problems in Supply Chain and Transport Logistics
by: Bridgelall, Raj
Published: (2022)

CREST: Constraint-Release Execution for Multi-Robot Warehouse Shelf Rearrangement
by: Tan, Jiaqi, et al.
Published: (2026)

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

Lifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models
by: Han, Lei, et al.
Published: (2023)

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting
by: Shi, Jiacheng, et al.
Published: (2025)

MORSE: Multi-Objective Reinforcement Learning via Strategy Evolution for Supply Chain Optimization
by: Kotecha, Niki, et al.
Published: (2025)

Deep Reinforcement Learning-based Obstacle Avoidance for Robot Movement in Warehouse Environments
by: Li, Keqin, et al.
Published: (2024)

Agentic LLMs in the Supply Chain: Towards Autonomous Multi-Agent Consensus-Seeking
by: Jannelli, Valeria, et al.
Published: (2024)

Multi-Agent LLM Committees for Autonomous Software Beta Testing
by: Karanam, Sumanth Bharadwaj Hachalli, et al.
Published: (2025)

Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities
by: Gajcin, Jasmina, et al.
Published: (2022)

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

Designing and Deploying AI Models for Sustainable Logistics Optimization: A Case Study on Eco-Efficient Supply Chains in the USA
by: Shawon, Reza E Rabbi, et al.
Published: (2025)

Semantic Chain-of-Trust: Autonomous Trust Orchestration for Collaborator Selection via Hypergraph-Aided Agentic AI
by: Zhu, Botao, et al.
Published: (2025)

Helicase: Uncertainty-Guided Supply Chain Knowledge Graph Construction with Autonomous Multi-Agent LLMs
by: Long, Yunbo, et al.
Published: (2026)

Reliability and Effectiveness of Autonomous AI Agents in Supply Chain Management
by: Long, Carol Xuan, et al.
Published: (2026)

MARL Warehouse Robots
by: Allman, Price, et al.
Published: (2025)

An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learning
by: Shokrnezhad, Masoud, et al.
Published: (2025)

LLMind: Orchestrating AI and IoT with LLM for Complex Task Execution
by: Cui, Hongwei, et al.
Published: (2023)

Beyond Bias Scores: Unmasking Vacuous Neutrality in Small Language Models
by: Manduru, Sumanth, et al.
Published: (2025)

Robust and Efficient Tool Orchestration via Layered Execution Structures with Reflective Correction
by: Zhe, Tao, et al.
Published: (2026)

ThinkDrive: Chain-of-Thought Guided Progressive Reinforcement Learning Fine-Tuning for Autonomous Driving
by: Zhao, Chang, et al.
Published: (2026)

Agentic AI for Autonomous Defense in Software Supply Chain Security: Beyond Provenance to Vulnerability Mitigation
by: Syed, Toqeer Ali, et al.
Published: (2025)

Efficient Orchestrated AI Workflows Execution on Scale-out Spatial Architecture
by: Deng, Jinyi, et al.
Published: (2024)

Large Language Models for Supply Chain Decisions
by: Simchi-Levi, David, et al.
Published: (2025)

Towards Autonomous Supply Chains: Definition, Characteristics, Conceptual Framework, and Autonomy Levels
by: Xu, Liming, et al.
Published: (2023)

LLMs for Supply Chain Management
by: Wang, Haojie, et al.
Published: (2025)

Classical and Deep Reinforcement Learning Inventory Control Policies for Pharmaceutical Supply Chains with Perishability and Non-Stationarity
by: Stranieri, Francesco, et al.
Published: (2025)

Quantized Machine Learning Models for Medical Imaging in Low-Resource Healthcare Settings
by: Kanneti, Sumanth Meenan, et al.
Published: (2026)

GNN-based Probabilistic Supply and Inventory Predictions in Supply Chain Networks
by: Ahn, Hyung-il, et al.
Published: (2024)

Execution-Verified Reinforcement Learning for Optimization Modeling
by: Guan, Runda, et al.
Published: (2026)

Optimizing Automated Picking Systems in Warehouse Robots Using Machine Learning
by: Li, Keqin, et al.
Published: (2024)

Evaluating SAP Joule for Code Generation
by: Heisler, Joshua, et al.
Published: (2025)

From Tool Orchestration to Code Execution: A Study of MCP Design Choices
by: Felendler, Yuval, et al.
Published: (2026)

Rethinking Supply Chain Planning: A Generative Paradigm
by: Yin, Jiaheng, et al.
Published: (2025)

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics
by: Alqithami, Saad
Published: (2025)