Sfoglia per Correlatore LIKMETA, AMARILDO
Mostrati risultati da 1 a 15 di 15
Applying rule-based controllers and reinforcement learning to control a general purpose robot: the Air Hockey challenge case
2022/2023 Minnucci, Francesco
Batch reinforcement learning for highway driving
2019/2020 MECCHIA, ANDREA
Directed exploration in continuous-action Reinforcement Learning via uncertainty-aware agents
2021/2022 SACCO, MATTEO
Leveraging Machine Learning for UAV trajectory planning and performance estimation
2022/2023 Drago, Simone
Modeling uncertainty in gradient inverse reinforcement learning with application to autonomous driving
2018/2019 MASCELLARO, GIUSEPPE
Offline Distributed Reinforcement Learning: an Industrial Product Routing Case-Study
2023/2024 BRUNETTI, ENRICO
Open loop planning for Formula 1 race strategy identification
2019/2020 Piccinotti, Diego
Partial observability in autonomous driving
2019/2020 MENCHETTI, PIETRO
Planning in stochastic environments through policy optimization with mediator feedback
2020/2021 GERMANO, JACOPO
Reinforcement learning for autonomous driving : comfort and robustness to noise
2018/2019 LUCENTE, GIOVANNI
Reinforcement learning for fixed income futures trading: an online multi-expert approach
2023/2024 Campana, Lorenzo
Reinforcement learning for high-level decision making in autonomous driving
2017/2018 GIOL, RICCARDO
Robot air hockey via hierarchical reinforcement learning
2023/2024 Bonenfant, Thomas Jean Bernard
Robotic arm control via curriculum deep reinforcement learning
2023/2024 ZHALEHMEHRABI, AMIRHOSSEIN
Towards distributed reinforcement learning for industry 4.0
2023/2024 MACI, LUCA
Mostrati risultati da 1 a 15 di 15
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