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2020 – today
- 2024
[j3]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:
Temporally Correlated Deep Learning-Based Horizontal Wind-Speed Prediction. Sensors 24(19): 6254 (2024)- 2023
- [j2]Qiming Ye, Yuxiang Feng, Jose Javier Escribano Macias, Marc Stettler, Panagiotis Angeloudis:
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions Using Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 24(2): 2024-2034 (2023) - [c6]Keyang Zhang, Jose Javier Escribano Macias, Dario Paccagnan, Panagiotis Angeloudis:
Last-mile Collaboration: A Decentralized Mechanism with Performance Guarantees and its Implementation. AAMAS 2023: 2916-2918 - [c5]Yubin Liu, Keyang Zhang, Jose Escribano Macias, Panagiotis Angeloudis:
Quantifying the Capability of Autonomous Robot-Assisted Distribution in Last-Mile: Insight from Rural to Urban Configurations. ITSC 2023: 5460-5467 - [c4]Kenta Matsui, Jose Escribano Macias, Panagiotis Angeloudis:
Real-time Dispatching for Autonomous Vehicles in Open-pit Mining Deployments using Deep Reinforcement Learning. ITSC 2023: 5468-5475 - [c3]Leandro Parada, Hanlin Tian, Jose Escribano Macias, Panagiotis Angeloudis:
An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios. ITSC 2023: 5548-5554 - [i5]Qiming Ye, Yuxiang Feng, Jose Javier Escribano Macias, Marc Stettler, Panagiotis Angeloudis:
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning. CoRR abs/2303.12289 (2023) - [i4]Luís Marques, Jose Javier Escribano Macias, Panagiotis Angeloudis:
Probabilistic Planning for Maritime Search and Rescue. CoRR abs/2306.03871 (2023) - 2022
- [c2]Keyang Zhang, Jose Javier Escribano Macias, Dario Paccagnan, Panagiotis Angeloudis:
The Competition and Inefficiency in Urban Road Last-Mile Delivery. AAMAS 2022: 1473-1481 - [c1]Jose Escribano Macias, Huan Chang, Panagiotis Angeloudis:
Integrated Path Planning and Task Assignment Model for On-Demand Last-Mile UAV-Based Delivery. ICCL 2022: 198-213 - [i3]Elvin Ngu, Leandro Parada, Jose Javier Escribano Macias, Panagiotis Angeloudis:
A Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem. CoRR abs/2203.11658 (2022) - [i2]Yubin Liu, Qiming Ye, Jose Escribano Macias, Yuxiang Feng, Panagiotis Angeloudis:
Location-Routing Planning for Last-Mile Deliveries Using Mobile Parcel Lockers: A Hybrid Q-Learning Network Approach. CoRR abs/2209.04265 (2022) - 2021
- [i1]Yubin Liu, Qiming Ye, Yuxiang Feng, Jose Escribano Macias, Panagiotis Angeloudis:
Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm. CoRR abs/2110.15485 (2021) - 2020
- [j1]Jose Escribano Macias, Nils Goldbeck, Pei-Yuan Hsu, Panagiotis Angeloudis, Washington Ochieng:
Endogenous stochastic optimisation for relief distribution assisted with unmanned aerial vehicles. OR Spectr. 42(4): 1089-1125 (2020)
Coauthor Index
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