PUB - Publikationen an der Universität Bielefeld

Alle markieren

• [8]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2986631

  A. Österdiekhoff, et al., “Sense of Control in Dynamic Multitasking and its Impact on Voluntary Task-Switching Behavior”, Proceedings of the Annual Meeting of the Cognitive Science Society, Accepted.

  PUB | PDF
   
• [7]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2977953

  A. Österdiekhoff, et al., “Model-based Reinforcement Learning with Hierarchical Control for Dynamic Uncertain Environments”, Proceedings of the 2024 Intelligent Systems Conference (Intellisys), Accepted.

  PUB
   
• [6]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2988992

  N. Abalakin, et al., “Allocation of Fixational Eye Movements in Response to Uncertainty in Dynamic Environments”, Proceedings of the Annual Meeting of the Cognitive Science Society, Accepted.

  PUB
   
• [5]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2988991

  N.W. Heinrich, et al., “Goal-directed Allocation of Gaze Reflects Situated Action Control in Dynamic Tasks”, Proceedings of the Annual Meeting of the Cognitive Science Society, Accepted.

  PUB
   
• [4]
  

  2024 | Konferenzbeitrag | PUB-ID: 2988990

  N.W. Heinrich, et al., “Developing and Evaluating a Computational Cognitive Model of Sensorimotor Grounded Action Selection Based on Eye-movement Behavior”, Proceedings of International Conference on Cognitive Modeling (ICCM 2024), 2024.

  PUB | Download (ext.)
   
• [3]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980767

  N.W. Heinrich, et al., “A Straightforward Implementation of Sensorimotor Abstraction in a Two-Layer Architecture for Dynamic Decision-Making”, Proceedings of International Conference on Cognitive Modeling (ICCM 2023), 2023.

  PUB
   
• [2]
  

  2023 | Kurzbeitrag Konferenz / Poster | Angenommen | PUB-ID: 2969470

  A. Österdiekhoff, et al., “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, Accepted.

  PUB | PDF
   
• [1]
  

  2023 | Kurzbeitrag Konferenz / Poster | Angenommen | PUB-ID: 2969471

  A. Österdiekhoff, “Incorporating Sense of Control in Dynamic Multi-Tasking Problems: A Model-based Hierarchical Reinforcement Learning Approach”, Doctoral Consortium, Accepted.

  PUB | PDF | DOI