PUB - Publikationen an der Universität Bielefeld

Alle markieren

• [12]
  

  2021 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2960159

  Moringen A, Fleer S, Ritter H. Meta-learning Haptic Exploration of Simple 3D Objects. In: 2021 IEEE World Haptics Conference. Piscataway, NJ: IEEE; 2021.

  PUB | PDF
   
• [11]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2949926

  Mohanty SP, Czakon J, Kaczmarek KA, et al. Deep Learning for Understanding Satellite Imagery: An Experimental Survey. Frontiers in Artificial Intelligence. 2020;3: 534696.

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [10]
  

  2020 | Bielefelder E-Dissertation | PUB-ID: 2949123

  Fleer S. Scaffolding for learning from reinforcement: Improving interaction learning. Bielefeld: Universität Bielefeld; 2020.

  PUB | Dateien verfügbar | DOI
   
• [9]
  

  2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2943876

  Moringen A, Fleer S, Walck G, Ritter H. Attention-based Robot Learning of Haptic Interaction. In: Nisky I, Hartcher-O’Brien J, Wiertlewski M, Smeets J, eds. Haptics: Science, Technology, Applications. 12th International Conference, EuroHaptics 2020, Leiden, The Netherlands, September 6–9, 2020, Proceedings. Lecture Notes in Computer Science. Vol 12272. Cham: Springer; 2020: 462-470.

  PUB | PDF | DOI | Download (ext.)
   
• [8]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939850

  Fleer S, Moringen A, Klatzky RL, Ritter H. Learning efficient haptic shape exploration with a rigid tactile sensor array. PLOS ONE. 2020;15(1): e0226880.

  PUB | PDF | DOI | WoS | PubMed | Europe PMC | arXiv
   
• [7]
  

  2019 | Datenpublikation | PUB-ID: 2934182

  Fleer S. Supplementary Material - Solving a tool-based interaction task using deep reinforcement learning with visual attention. Bielefeld University; 2019.

  PUB | Dateien verfügbar | DOI
   
• [6]
  

  2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2935994

  Fleer S, Ritter H. Solving a Tool-Based Interaction Task Using Deep Reinforcement Learning with Visual Attention. In: Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. WSOM 2019. Advances in Intelligent Systems and Computing . Vol 976. Cham: Springer; 2019: 231-240.

  PUB | DOI | Download (ext.)
   
• [5]
  

  2019 | Datenpublikation | PUB-ID: 2936475

  Fleer S, Moringen A, Klatzky RL, Ritter H. Supplementary Material - Learning efficient haptic shape exploration with a rigid tactile sensor array. Bielefeld University; 2019.

  PUB | Dateien verfügbar | DOI
   
• [4]
  

  2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2939854

  Moringen A, Fleer S, Ritter H. Scaffolding Haptic Attention with Controller Gating. In: Tetko IV, Kůrková V, Karpov P, Theis F, eds. Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation.28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I. Lecture Notes in Computer Science. Vol 11727. Cham: Springer; 2019: 669-684.

  PUB | DOI | Download (ext.)
   
• [3]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933709

  Fleer S, Ritter H. Skill Transfer for Mediated Interaction Learning. In: 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids). Piscataway, NJ: IEEE; 2019.

  PUB | DOI | Download (ext.)
   
• [2]
  

  2019 | Konferenzbeitrag | PUB-ID: 2933988

  Melnik A, Fleer S, Schilling M, Ritter H. Modularization of End-to-End Learning: Case Study in Arcade Games. In: 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Workshop on Causal Learning. 2019.

  PUB | arXiv
   
• [1]
  

  2017 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2914841

  Fleer S, Ritter H. Comparing Action Sets: Mutual Information as a Measure of Control. In: Artificial Neural Networks and Machine Learning – ICANN 2017. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2017: 68-75.

  PUB | DOI