Jose Escribano Macias

According to our database, Jose Escribano Macias authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Temporally Correlated Deep Learning-Based Horizontal Wind-Speed Prediction.

Lintong Li, Jose Escribano Macias, Mingwei Zhang, Shenghao Fu, Mingyang Huang, Xiangmin Yang, Tianyu Zhao, Yuxiang Feng, Mireille Elhajj, Arnab Majumdar, Panagiotis Angeloudis, Washington Ochieng

Sensors, October, 2024

2023

Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions Using Reinforcement Learning.

Qiming Ye, Yuxiang Feng, Jose Javier Escribano Macias, Marc Stettler, Panagiotis Angeloudis

IEEE Trans. Intell. Transp. Syst., February, 2023

Probabilistic Planning for Maritime Search and Rescue.

Luís Marques, Jose Javier Escribano Macias, Panagiotis Angeloudis

CoRR, 2023

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios.

Leandro Parada, Hanlin Tian, Jose Escribano Macias, Panagiotis Angeloudis

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Real-time Dispatching for Autonomous Vehicles in Open-pit Mining Deployments using Deep Reinforcement Learning.

Kenta Matsui, Jose Escribano Macias, Panagiotis Angeloudis

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Quantifying the Capability of Autonomous Robot-Assisted Distribution in Last-Mile: Insight from Rural to Urban Configurations.

Yubin Liu, Keyang Zhang, Jose Escribano Macias, Panagiotis Angeloudis

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Last-mile Collaboration: A Decentralized Mechanism with Performance Guarantees and its Implementation.

Keyang Zhang, Jose Javier Escribano Macias, Dario Paccagnan, Panagiotis Angeloudis

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Location-Routing Planning for Last-Mile Deliveries Using Mobile Parcel Lockers: A Hybrid Q-Learning Network Approach.

Yubin Liu, Qiming Ye, Jose Escribano Macias, Yuxiang Feng, Panagiotis Angeloudis

CoRR, 2022

A Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem.

Elvin Ngu, Leandro Parada, Jose Javier Escribano Macias, Panagiotis Angeloudis

CoRR, 2022

Integrated Path Planning and Task Assignment Model for On-Demand Last-Mile UAV-Based Delivery.

Jose Escribano Macias, Huan Chang, Panagiotis Angeloudis

Proceedings of the Computational Logistics - 13th International Conference, 2022

The Competition and Inefficiency in Urban Road Last-Mile Delivery.

Keyang Zhang, Jose Javier Escribano Macias, Dario Paccagnan, Panagiotis Angeloudis

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm.

Yubin Liu, Qiming Ye, Yuxiang Feng, Jose Escribano Macias, Panagiotis Angeloudis

CoRR, 2021

2020

Endogenous stochastic optimisation for relief distribution assisted with unmanned aerial vehicles.

Jose Escribano Macias, Nils Goldbeck, Pei-Yuan Hsu, Panagiotis Angeloudis, Washington Ochieng

OR Spectr., 2020