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Andrew Fuchs
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Theory of mind for deep reinforcement learning in hanabi
A Fuchs, M Walton, T Chadwick, D Lange
arXiv preprint arXiv:2101.09328, 2021
122021
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
112023
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
92022
Compensating for sensing failures via delegation in human–ai hybrid systems
A Fuchs, A Passarella, M Conti
Sensors 23 (7), 3409, 2023
62023
Modeling Human Behavior Part I--Learning and Belief Approaches
A Fuchs, A Passarella, M Conti
arXiv preprint arXiv:2205.06485, 2022
52022
Optimizing delegation between human and AI collaborative agents
A Fuchs, A Passarella, M Conti
arXiv preprint arXiv:2309.14718, 2023
22023
Modeling Human Behavior Part II--Cognitive approaches and Uncertainty
A Fuchs, A Passarella, M Conti
arXiv preprint arXiv:2205.06483, 2022
22022
Optimizing Delegation in Collaborative Human-AI Hybrid Teams
A Fuchs, A Passarella, M Conti
arXiv preprint arXiv:2402.05605, 2024
12024
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
12022
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
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Articles 1–12