Cover Image

Airlift Challenge: A Competition for Optimizing Cargo Delivery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Delanovic, Adis, Chiu, Carmen, Kolen, John F., Gülhan, Marvin, Cawalla, Jonathan, Beckus, Andre
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment
by: Alihodžić, Adis
Published: (2026)

Cyber-Physical Anomaly Detection in IoT-Enabled Smart Grids Using Machine Learning and Metaheuristic Feature Optimization
by: Alihodžić, Adis, et al.
Published: (2026)

Strategic Self-Improvement for Competitive Agents in AI Labour Markets
by: Chiu, Christopher, et al.
Published: (2025)

Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
by: Singireddy, Suraj, et al.
Published: (2023)

The PokeAgent Challenge: Competitive and Long-Context Learning at Scale
by: Karten, Seth, et al.
Published: (2026)

Optimizing Package Delivery with Quantum Annealers: Addressing Time-Windows and Simultaneous Pickup and Delivery
by: Osaba, Eneko, et al.
Published: (2025)

CARGO: A Co-Optimization Framework for EV Charging and Routing in Goods Delivery Logistics
by: Khanda, Arindam, et al.
Published: (2025)

Construction of Knowledge Graphs: State and Challenges
by: Hofer, Marvin, et al.
Published: (2023)

The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition
by: Perez-Liebana, Diego, et al.
Published: (2019)

BaKlaVa -- Budgeted Allocation of KV cache for Long-context Inference
by: Gulhan, Ahmed Burak, et al.
Published: (2025)

Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization
by: Luo, Wenjian, et al.
Published: (2024)

Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems
by: Windmann, Alexander, et al.
Published: (2024)

Software Reuse in the Generative AI Era: From Cargo Cult Towards AI Native Software Engineering
by: Mikkonen, Tommi, et al.
Published: (2025)

Towards Cognitive Service Delivery on B5G through AIaaS Architecture
by: Moreira, Larissa F. Rodrigues, et al.
Published: (2024)

Oracular Programming: A Modular Foundation for Building LLM-Enabled Software
by: Laurent, Jonathan, et al.
Published: (2025)

SoK: DARPA's AI Cyber Challenge (AIxCC): Competition Design, Architectures, and Lessons Learned
by: Zhang, Cen, et al.
Published: (2026)

A Methodology for Questionnaire Analysis: Insights through Cluster Analysis of an Investor Competition Data
by: Forster, Carlos Henrique Q., et al.
Published: (2024)

Async Learned User Embeddings for Ads Delivery Optimization
by: Tang, Mingwei, et al.
Published: (2024)

Proceedings of the 2024 XCSP3 Competition
by: Audemard, Gilles, et al.
Published: (2024)

Causal Strategic Learning with Competitive Selection
by: Vo, Kiet Q. H., et al.
Published: (2023)

Introducing Tales of Tribute AI Competition
by: Kowalski, Jakub, et al.
Published: (2023)

Proceedings of the 2025 XCSP3 Competition
by: Audemard, Gilles, et al.
Published: (2025)

Extracting Problem Structure with LLMs for Optimized SAT Local Search
by: Schidler, André, et al.
Published: (2025)

GOOSE Algorithm: A Powerful Optimization Tool for Real-World Engineering Challenges and Beyond
by: Hamad, Rebwar Khalid, et al.
Published: (2023)

ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming
by: Yang, Xinwei, et al.
Published: (2025)

Technical Approach for the EMI Challenge in the 8th Affective Behavior Analysis in-the-Wild Competition
by: Yu, Jun, et al.
Published: (2025)

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges
by: Yang, Xianliang, et al.
Published: (2025)

Quantitative AI Risk Assessments: Opportunities and Challenges
by: Piorkowski, David, et al.
Published: (2022)

SynDelay: A Synthetic Dataset for Delivery Delay Prediction
by: Xu, Liming, et al.
Published: (2025)

Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition
by: Zou, Andy, et al.
Published: (2025)

Understanding the Challenges in Iterative Generative Optimization with LLMs
by: Nie, Allen, et al.
Published: (2026)

PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications
by: Knauer, Ricardo, et al.
Published: (2024)

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations
by: Hussain, Waqar, et al.
Published: (2025)

CompetEvo: Towards Morphological Evolution from Competition
by: Huang, Kangyao, et al.
Published: (2024)

Online Submission and Evaluation System Design for Competition Operations
by: Chen, Zhe, et al.
Published: (2025)

LeanGeo: Formalizing Competitional Geometry problems in Lean
by: Song, Chendong, et al.
Published: (2025)

Stimulate the Potential of Robots via Competition
by: Huang, Kangyao, et al.
Published: (2024)

Hierarchical Reinforcement Learning and Value Optimization for Challenging Quadruped Locomotion
by: Coholich, Jeremiah, et al.
Published: (2025)

Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
by: Wang, Chenrui, et al.
Published: (2025)

The Restaurant Meal Delivery Problem with Ghost Kitchens
by: Neria, Gal, et al.
Published: (2024)