| Safe exploration algorithms for reinforcement learning controllers T Mannucci, EJ van Kampen, C De Visser, Q Chu IEEE transactions on neural networks and learning systems 29 (4), 1069-1081, 2017 | 114 | 2017 |
| Self-tuning gains of a quadrotor using a simple model for policy gradient reinforcement learning J Junell, T Mannucci, Y Zhou, EJ Van Kampen AIAA Guidance, Navigation, and Control Conference, 1387, 2016 | 19 | 2016 |
| Intelligent autonomous vehicles with an extendable knowledge base under meaningful human control G Beckers, J Sijs, J van Diggelen, RJE van Dijk, H Bouma, M Lomme, ... Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies …, 2019 | 14 | 2019 |
| A hierarchical maze navigation algorithm with reinforcement learning and mapping T Mannucci, EJ van Kampen 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 11 | 2016 |
| SHERPA: A safe exploration algorithm for Reinforcement Learning controllers T Mannucci, EJ Van Kampen, CC de Visser, QP Chu AIAA Guidance, Navigation, and Control Conference, 1757, 2015 | 7 | 2015 |
| Safe Online Robust Exploration for Reinforcement Learning Control of Unmanned Aerial Vehicles T Mannucci | 4 | 2017 |
| Hierarchically Structured Controllers for Safe UAV Reinforcement Learning Applications T Mannucci, EJ Van Kampen, CC de Visser, QP Chu AIAA Information Systems-AIAA Infotech@ Aerospace, 0791, 2017 | 4 | 2017 |
| Reinforcement learning based algorithm with safety handling and risk perception S Shyamsundar, T Mannucci, EJ Van Kampen 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2016 | 4 | 2016 |
| Continuous state and action Q-learning framework applied to quadrotor UAV control A Naruta, T Mannucci, EJ Van Kampen AIAA Scitech 2019 Forum, 0145, 2019 | 3 | 2019 |
| Extending reward-based hierarchical task network planning to partially observable environments T Mannucci, R Zimmermann, C Frese 2024 10th International Conference on Automation, Robotics and Applications …, 2024 | 1 | 2024 |
| The Actor-Judge Method: safe state exploration for Hierarchical Reinforcement Learning Controllers S Verbist, T Mannucci, EJ Van Kampen 2018 AIAA Information Systems-AIAA Infotech@ Aerospace, 1634, 2018 | 1 | 2018 |
| Runtime Verification of Learning Properties for Reinforcement Learning Algorithms T Mannucci arXiv preprint arXiv:2311.09811, 2023 | | 2023 |
| An Optimum Well Control Using Reinforcement Learning and Policy Transfer; Application to Production Optimization and Slugging Minimization J Poort, J Van der Waa, T Mannucci, P Shoeibi Omrani SPE Annual Technical Conference and Exhibition?, D021S038R002, 2022 | | 2022 |
| A utility-driven surveillance approach to trade-off security and privacy C Lloyd, T Mannucci, H Bouma, K Schutte, A Huizing Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies …, 2019 | | 2019 |
| A utility-driven surveillance approach to trade-off security and privacy C Lloyd, T Mannucci, H Bouma, K Schutte, A Huizing Proc. SPIE, Strassbourg France, 10 september vol. 11166, 2019 | | 2019 |
| Safe and Autonomous UAV Navigation using Graph Policies T Mannucci, EJ Van Kampen, CC de Visser, QP Chu AIAA Information Systems-AIAA Infotech@ Aerospace, 1750, 2017 | | 2017 |
| Graph based dynamic policy for UAV navigation T Mannucci, EJ Van Kampen, CC de Visser, QP Chu AIAA Guidance, Navigation, and Control Conference, 1144, 2016 | | 2016 |
| A novel approach with safety metrics for real-time exploration of uncertain environments T Mannucci, EJ Van Kampen, CC de Visser, QP Chu AIAA Guidance, Navigation, and Control Conference, 0637, 2016 | | 2016 |
