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PREDILECT: Preferences Delineated with Zero-Shot Language-b..:
, In:
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
,
Holk, Simon
;
Marta, Daniel
;
Leite, Iolanda
- p. 259-268 , 2024
Link:
https://dl.acm.org/doi/10.1145/3610977.3634970
RT T1 <cTitle>Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction</cTitle>: T1 <Title>PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3634970&Exemplar=1&LAN=DE A1 Holk, Simon A1 Marta, Daniel A1 Leite, Iolanda PB ACM YR 2024 K1 human-in-the-loop learning K1 interactive learning K1 preference learning K1 reinforcement learning K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Inverse reinforcement learning K1 Supervised learning K1 Learning to rank SP 259 OP 268 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3610977.3634970 DO https://dl.acm.org/doi/10.1145/3610977.3634970 SF ELIB - SuUB Bremen
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