Imagen de Portada

Dynamic Demand Management for Parcel Lockers

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sailer, Daniela, Klein, Robert, Steinhardt, Claudius
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

From approximation error to optimality gap -- Explaining the performance impact of opportunity cost approximation in integrated demand management and vehicle routing
por: Fleckenstein, David, et al.
Publicado: (2024)

Route Planning for Last-Mile Deliveries Using Mobile Parcel Lockers: A Hybrid Q-Learning Network Approach
por: Liu, Yubin, et al.
Publicado: (2022)

Amazon Locker Capacity Management
por: Sethuraman, Samyukta, et al.
Publicado: (2023)

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts
por: Li, Qinfeng, et al.
Publicado: (2026)

Reorganizing attention-space geometry with expressive attention
por: Gros, Claudius
Publicado: (2024)

Explaining Datasets in Words: Statistical Models with Natural Language Parameters
por: Zhong, Ruiqi, et al.
Publicado: (2024)

Small transformer architectures for task switching
por: Gros, Claudius
Publicado: (2025)

From generative AI to the brain: five takeaways
por: Gros, Claudius
Publicado: (2025)

Discovering Latent Knowledge in Language Models Without Supervision
por: Burns, Collin, et al.
Publicado: (2022)

GDAIP: A Graph-Based Domain Adaptive Framework for Individual Brain Parcellation
por: Zhu, Jianfei, et al.
Publicado: (2025)

Diffusion Suction Grasping with Large-Scale Parcel Dataset
por: Huang, Ding-Tao, et al.
Publicado: (2025)

How do Language Models Bind Entities in Context?
por: Feng, Jiahai, et al.
Publicado: (2023)

Which Attention Heads Matter for In-Context Learning?
por: Yin, Kayo, et al.
Publicado: (2025)

The AI Literacy Heptagon: A Structured Approach to AI Literacy in Higher Education
por: Hackl, Veronika, et al.
Publicado: (2025)

Exploring the Decentraland Economy: Multifaceted Parcel Attributes, Key Insights, and Benchmarking
por: Jha, Dipika, et al.
Publicado: (2024)

Effective Online 3D Bin Packing with Lookahead Parcels Using Monte Carlo Tree Search
por: Fang, Jiangyi, et al.
Publicado: (2026)

CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness
por: Liu, Jiayi, et al.
Publicado: (2024)

Greedy SLIM: A SLIM-Based Approach For Preference Elicitation
por: Proissl, Claudius, et al.
Publicado: (2024)

Adversaries Can Misuse Combinations of Safe Models
por: Jones, Erik, et al.
Publicado: (2024)

Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision
por: Ye, Yaowen, et al.
Publicado: (2025)

Learning Hierarchical Domain Models Through Environment-Grounded Interaction
por: Kienle, Claudius, et al.
Publicado: (2025)

Authorize-on-Demand: Dynamic Authorization with Legality-Aware Intellectual Property Protection for VLMs
por: Wang, Lianyu, et al.
Publicado: (2026)

Is GPT-4 a reliable rater? Evaluating Consistency in GPT-4 Text Ratings
por: Hackl, Veronika, et al.
Publicado: (2023)

Interpreting CLIP's Image Representation via Text-Based Decomposition
por: Gandelsman, Yossi, et al.
Publicado: (2023)

Overthinking the Truth: Understanding how Language Models Process False Demonstrations
por: Halawi, Danny, et al.
Publicado: (2023)

Feedback Loops With Language Models Drive In-Context Reward Hacking
por: Pan, Alexander, et al.
Publicado: (2024)

Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network
por: Zhang, Jichen, et al.
Publicado: (2023)

Enhancing Sentinel-2 Image Resolution: Evaluating Advanced Techniques based on Convolutional and Generative Neural Networks
por: Kramer, Patrick, et al.
Publicado: (2024)

VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models
por: Dunlap, Lisa, et al.
Publicado: (2024)

Causal Inference in Energy Demand Prediction
por: Ma, Chutian, et al.
Publicado: (2025)

Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm
por: Liu, Yubin, et al.
Publicado: (2021)

Language Model Circuits Are Sparse in the Neuron Basis
por: Arora, Aryaman, et al.
Publicado: (2026)

Cross-household Transfer Learning Approach with LSTM-based Demand Forecasting
por: Rahal, Manal, et al.
Publicado: (2026)

Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles
por: Zhang, Hanwen, et al.
Publicado: (2025)

Demand Acceptance using Reinforcement Learning for Dynamic Vehicle Routing Problem with Emission Quota
por: Najar, Farid, et al.
Publicado: (2026)

Indirect Dynamic Negotiation in the Nash Demand Game
por: Guy, Tatiana V., et al.
Publicado: (2024)

Learning a Generative Meta-Model of LLM Activations
por: Luo, Grace, et al.
Publicado: (2026)

Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds
por: Abdelsamad, Mohamed, et al.
Publicado: (2025)

THOR: Transformer Heuristics for On-Demand Retrieval
por: Shi, Isaac, et al.
Publicado: (2025)

Multiple Areal Feature Aware Transportation Demand Prediction
por: Han, Sumin, et al.
Publicado: (2024)