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2020 – today
- 2023
[j2]Eduardo Candela
, Olivier Doustaly, Leandro Parada, Felix Feng, Yiannis Demiris, Panagiotis Angeloudis:
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning. Artif. Intell. 320: 103923 (2023)- [j1]Simon Hu, Yin Ye, Qinru Hu, Xin Liu, Shaosheng Cao, Howard H. Yang, Yongdong Shen, Panagiotis Angeloudis, Leandro Parada, Chao Wu:
A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction. IEEE Trans. Veh. Technol. 72(11): 14002-14015 (2023) - [c2]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 - 2022
- [c1]Eduardo Candela, Leandro Parada, Luís Marques, Tiberiu-Andrei Georgescu, Yiannis Demiris, Panagiotis Angeloudis:
Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real. IROS 2022: 8814-8820 - [i3]Eduardo Candela, Leandro Parada, Luís Marques, Tiberiu-Andrei Georgescu, Yiannis Demiris, Panagiotis Angeloudis:
Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real. CoRR abs/2203.11653 (2022) - [i2]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) - [i1]Leandro Parada, Eduardo Candela, Luís Marques, Panagiotis Angeloudis:
Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Proximal Policy Optimisation. CoRR abs/2210.17381 (2022)
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