Annika Österdiekhoff
aoesterdiekhoff@techfak.uni-bielefeld.dehttps://orcid.org/0000-0002-9918-4609
PEVZ-ID
8 Publikationen
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2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2977953Österdiekhoff A, Heinrich NW, Rußwinkel N, Kopp S. Model-based Reinforcement Learning with Hierarchical Control for Dynamic Uncertain Environments. In: Proceedings of the 2024 Intelligent Systems Conference (Intellisys). Accepted.PUB
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2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2988992Abalakin N, Heinrich NW, Österdiekhoff A, Kopp S, Rußwinkel N. Allocation of Fixational Eye Movements in Response to Uncertainty in Dynamic Environments. In: Proceedings of the Annual Meeting of the Cognitive Science Society. Accepted.PUB
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2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2988991Heinrich NW, Österdiekhoff A, Kopp S, Rußwinkel N. Goal-directed Allocation of Gaze Reflects Situated Action Control in Dynamic Tasks. In: Proceedings of the Annual Meeting of the Cognitive Science Society. Accepted.PUB
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2024 | Konferenzbeitrag | PUB-ID: 2988990Heinrich NW, Österdiekhoff A, Kopp S, Rußwinkel N. Developing and Evaluating a Computational Cognitive Model of Sensorimotor Grounded Action Selection Based on Eye-movement Behavior. In: Proceedings of International Conference on Cognitive Modeling (ICCM 2024). 2024.PUB | Download (ext.)
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980767Heinrich NW, Österdiekhoff A, Kopp S, Rußwinkel N. A Straightforward Implementation of Sensorimotor Abstraction in a Two-Layer Architecture for Dynamic Decision-Making. In: Proceedings of International Conference on Cognitive Modeling (ICCM 2023). 2023.PUB
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2023 | Kurzbeitrag Konferenz / Poster | Angenommen | PUB-ID: 2969470Österdiekhoff A, Heinrich NW, Rußwinkel N, Kopp S. Towards an Hierarchical Model-Based Reinforcement Learning Approach to Dynamic Decision-Making in Uncertain Environment. Presented at the 15th International Conference on Agents and Artificial Intelligence , Lissabon.PUB | PDF
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