| Efficient parallel methods for deep reinforcement learning AV Clemente, HN Castejón, A Chandra arXiv preprint arXiv:1705.04862, 2017 | 124 | 2017 |
| Efficient parallel methods for deep reinforcement learning C Alfredo, C Arjun The Multi-disciplinary Conference on Reinforcement Learning and Decision …, 2017 | 8 | 2017 |
| Efficient Parallel Methods for Deep Reinforcement Learning. arXiv 2017 AV Clemente, HN Castejón, A Chandra arXiv preprint arXiv:1705.04862, 0 | 5 | |
| Global Transformer Architecture for Indoor Room Temperature Forecasting AV Clemente, A Nocente, M Ruocco Journal of Physics: Conference Series 2600 (2), 022018, 2023 | 3 | 2023 |
| Generalization strategies for improving bus travel time prediction across networks Z Aemmer, S Sørbø, A Clemente, M Ruocco Journal of Urban Management, 2024 | 2 | 2024 |
| Rapid pedestrian‐level wind field prediction for early‐stage design using Pareto‐optimized convolutional neural networks AV Clemente, KET Giljarhus, L Oggiano, M Ruocco Computer‐Aided Civil and Infrastructure Engineering, 2024 | 2 | 2024 |
| Decoupling deep learning and reinforcement learning for stable and efficient deep policy gradient algorithms AV Clemente NTNU, 2017 | 2 | 2017 |
| Configurable convolutional neural networks for real-time pedestrian-level wind prediction in urban environments AV Clemente, KET Giljarhus, L Oggiano, M Ruocco arXiv preprint arXiv:2311.07985, 2023 | 1 | 2023 |
