12 Publikationen
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2949926Mohanty, S.P., Czakon, J., Kaczmarek, K.A., Pyskir, A., Tarasiewicz, P., Kunwar, S., Rohrbach, J., Luo, D., Prasad, M., Fleer, S., Göpfert, J.P., Tandon, A., Mollard, G., Rayaprolu, N., Salathe, M. & Schilling, M. (2020). Deep Learning for Understanding Satellite Imagery: An Experimental Survey. Frontiers in Artificial Intelligence, 3: 534696. Frontiers Media SA. doi:10.3389/frai.2020.534696.
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2020 | Bielefelder E-Dissertation | PUB-ID: 2949123Fleer, S. (2020). Scaffolding for learning from reinforcement: Improving interaction learning. Bielefeld: Universität Bielefeld. doi:10.4119/unibi/2949123.
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2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2943876Moringen, A., Fleer, S., Walck, G. & Ritter, H. (2020). Attention-based Robot Learning of Haptic Interaction (Lecture Notes in Computer Science). In I. Nisky, J. Hartcher-O’Brien, M. Wiertlewski & J. Smeets (Hrsg.), Haptics: Science, Technology, Applications. 12th International Conference, EuroHaptics 2020, Leiden, The Netherlands, September 6–9, 2020, Proceedings (S. 462-470). Gehalten auf der Eurohaptics 2020, Cham: Springer. doi:10.1007/978-3-030-58147-3_51.
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939850Fleer, S., Moringen, A., Klatzky, R.L. & Ritter, H. (2020). Learning efficient haptic shape exploration with a rigid tactile sensor array. PLOS ONE, 15(1): e0226880. Public Library of Science. doi:10.1371/journal.pone.0226880.
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2019 | Datenpublikation | PUB-ID: 2934182Fleer, S. (2019). Supplementary Material - Solving a tool-based interaction task using deep reinforcement learning with visual attention. Bielefeld University. doi:10.4119/unibi/2934182.
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2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2935994Fleer, S. & Ritter, H. (2019). Solving a Tool-Based Interaction Task Using Deep Reinforcement Learning with Visual Attention ( Advances in Intelligent Systems and Computing ). Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. WSOM 2019 (S. 231-240). Gehalten auf der 13th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM), Cham: Springer. doi:10.1007/978-3-030-19642-4_23.
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2019 | Datenpublikation | PUB-ID: 2936475Fleer, S., Moringen, A., Klatzky, R.L. & Ritter, H. (2019). Supplementary Material - Learning efficient haptic shape exploration with a rigid tactile sensor array. Bielefeld University. doi:10.4119/unibi/2936475.
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2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2939854Moringen, A., Fleer, S. & Ritter, H. (2019). Scaffolding Haptic Attention with Controller Gating (Lecture Notes in Computer Science). In I.V. Tetko, V. Kůrková, P. Karpov & F. Theis (Hrsg.), 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 (S. 669-684). Gehalten auf der 28th International Conference on Artificial Neural Networks – ICANN 2019, Cham: Springer. doi:10.1007/978-3-030-30487-4_51.
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933709Fleer, S. & Ritter, H. (2019). Skill Transfer for Mediated Interaction Learning. 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids). Gehalten auf der 18th International Conference on Humanoid Robots (Humanoids), Piscataway, NJ: IEEE. doi:10.1109/humanoids.2018.8624951.
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2019 | Konferenzbeitrag | PUB-ID: 2933988Melnik, A., Fleer, S., Schilling, M. & Ritter, H. (2019). Modularization of End-to-End Learning: Case Study in Arcade Games. 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Workshop on Causal Learning. Gehalten auf der 32nd Conference on Neural Information Processing Systems (NeurIPS 2018).
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2017 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2914841Fleer, S. & Ritter, H. (2017). Comparing Action Sets: Mutual Information as a Measure of Control (Lecture Notes in Computer Science). Artificial Neural Networks and Machine Learning – ICANN 2017 (S. 68-75). Gehalten auf der 26th International Conference on Artificial Neural Networks, Cham: Springer International Publishing. doi:10.1007/978-3-319-68600-4_9.