| Wind farm layout optimization using a Gaussian-based wake model L Parada, C Herrera, P Flores, V Parada Renewable energy 107, 531-541, 2017 | 170 | 2017 |
| Assessing the energy benefit of using a wind turbine micro-siting model L Parada, C Herrera, P Flores, V Parada Renewable energy 118, 591-601, 2018 | 31 | 2018 |
| Transferring multi-agent reinforcement learning policies for autonomous driving using sim-to-real E Candela, L Parada, L Marques, TA Georgescu, Y Demiris, P Angeloudis 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 19 | 2022 |
| Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning E Candela, O Doustaly, L Parada, F Feng, Y Demiris, P Angeloudis Artificial Intelligence 320, 103923, 2023 | 7 | 2023 |
| Safe and efficient manoeuvring for emergency vehicles in autonomous traffic using multi-agent proximal policy optimisation L Parada, E Candela, L Marques, P Angeloudis Transportmetrica A: Transport Science, 1-29, 2023 | 4 | 2023 |
| A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction S Hu, Y Ye, Q Hu, X Liu, S Cao, HH Yang, Y Shen, P Angeloudis, ... IEEE Transactions on Vehicular Technology, 2023 | 3 | 2023 |
| A Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem E Ngu, L Parada, JJE Macias, P Angeloudis arXiv preprint arXiv:2203.11658, 2022 | 3 | 2022 |
| An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios L Parada, H Tian, J Escribano, P Angeloudis 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| Scaling Deep Reinforcement Learning for Autonomous Mobility on Demand Systems: A Curriculum Learning Approach L Parada, J Escribano, Y Feng, R Karamanis, P Angeloudis Available at SSRN 4450260, 0 | | |
