Theory of mind for deep reinforcement learning in hanabi A Fuchs, M Walton, T Chadwick, D Lange arXiv preprint arXiv:2101.09328, 2021 | 13 | 2021 |
Modeling, replicating, and predicting human behavior: a survey A Fuchs, A Passarella, M Conti ACM Transactions on Autonomous and Adaptive Systems 18 (2), 1-47, 2023 | 12 | 2023 |
A cognitive framework for delegation between error-prone AI and human agents A Fuchs, A Passarella, M Conti 2022 IEEE International Conference on Smart Computing (SMARTCOMP), 317-322, 2022 | 10 | 2022 |
Compensating for sensing failures via delegation in Human–AI hybrid systems A Fuchs, A Passarella, M Conti Sensors 23 (7), 3409, 2023 | 7 | 2023 |
Modeling Human Behavior Part I--Learning and Belief Approaches A Fuchs, A Passarella, M Conti arXiv preprint arXiv:2205.06485, 2022 | 5 | 2022 |
Optimizing delegation between human and AI collaborative agents A Fuchs, A Passarella, M Conti arXiv preprint arXiv:2309.14718, 2023 | 4 | 2023 |
Modeling Human Behavior Part II--Cognitive approaches and Uncertainty A Fuchs, A Passarella, M Conti arXiv preprint arXiv:2205.06483, 2022 | 2 | 2022 |
Optimizing Delegation in Collaborative Human-AI Hybrid Teams A Fuchs, A Passarella, M Conti arXiv preprint arXiv:2402.05605, 2024 | 1 | 2024 |
Demonstrating Optimized Delegation between AI and Human Agents A Fuchs, A Passarella, M Conti 2022 IEEE International Conference on Smart Computing (SMARTCOMP), 171-173, 2022 | 1 | 2022 |
Optimizing Risk-averse Human-AI Hybrid Teams A Fuchs, A Passarella, M Conti arXiv preprint arXiv:2403.08386, 2024 | | 2024 |
Autonomous and Adaptive Systems A Fuchs, A Passarella, M Conti, D Weyns, I Gerostathopoulos, N Abbas, ... ACM Transactions on 18 (2), 2023 | | 2023 |
Intention-based Behavioral Anomaly Detection F Hung, X Xie, A Fuchs, M Walton, S Qi, Y Zhu, D Lange, SC Zhu | | 2019 |