PUB - Publikationen an der Universität Bielefeld

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• [15]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958662

  M. Schilling, et al., “Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning”, Neural Networks, vol. 144, 2021, pp. 699-725.

  PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
   
• [14]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956099

  A. Melnik, et al., “Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks”, Frontiers in Robotics and AI, vol. 8, 2021, : 538773.

  PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
   
• [13]
  

  2020 | Preprint | PUB-ID: 2948844

  A. Harter, et al., “Solving Physics Puzzles by Reasoning about Paths”, arXiv:2011.07357, 2020.

  PUB | Download (ext.) | arXiv
   
• [12]
  

  2020 | Konferenzbeitrag | PUB-ID: 2945886

  N. Bach, et al., “Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3”, 6th International Conference, LOD 2020, Siena, Italy, Proceedings, Lecture Notes in Computer Science, Springer, 2020.

  PUB | PDF
   
• [11]
  

  2020 | Konferenzbeitrag | PUB-ID: 2945884

  N. Bach, et al., “An error-based addressing architecture for dynamic model learning”, 6th International Conference, LOD 2020, Siena, Italy, Proceedings, Lecture Notes in Computer Science, Springer International Publishing, 2020.

  PUB | PDF
   
• [10]
  

  2019 | Zeitschriftenaufsatz | PUB-ID: 2937519

  T. Korthals, et al., “Multisensory Assisted In-hand Manipulation of Objects with a Dexterous Hand”, 2019 IEEE International Conference on Robotics and Automation Workshop on Integrating Vision and Touch for Multimodal and Cross-modal Perception, (ViTac) 2019, Montreal, CA, May 20-25, 2019, 2019, pp. 1-2.

  PUB | PDF
   
• [9]
  

  2019 | Zeitschriftenaufsatz | PUB-ID: 2937517

  K. Konen, et al., “Biologically-Inspired Deep Reinforcement Learning of Modular Control for a Six-Legged Robot”, 2019 IEEE International Conference on Robotics and Automation Workshop on Learning Legged Locomotion Workshop, (ICRA) 2019, Montreal, CA, May 20-25, 2019, 2019, pp. 1-3.

  PUB | PDF
   
• [8]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2939836

  A. Melnik, et al., “Combining Causal Modelling and Deep Reinforcement Learning for Autonomous Agents in Minecraft”, Presented at the 4th Workshop on Semantic Policy and Action Representations for Autonomous Robots at IROS 2019, Macau, 2019.

  PUB | Download (ext.)
   
• [7]
  

  2019 | Konferenzbeitrag | PUB-ID: 2937521

  T. Korthals, et al., “Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion”, 22st International Conference on Information Fusion, (FUSION) 2019, Ottawa, CA, July 2-5, 2019, 2019, pp.1-8.

  PUB | PDF
   
• [6]
  

  2019 | Konferenzbeitrag | PUB-ID: 2933988

  A. Melnik, et al., “Modularization of End-to-End Learning: Case Study in Arcade Games”, 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Workshop on Causal Learning, 2019.

  PUB | arXiv
   
• [5]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932767

  A. Melnik, et al., “The World as an External Memory. The Price of Saccades in a Sensorimotor Task”, FRONTIERS IN BEHAVIORAL NEUROSCIENCE, vol. 12, 2018, : 253.

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• [4]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2940661

  Ł. Kidziński, et al., “Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments”, Presented at the 31nd Conference on Neural Information Processing Systems (NIPS 2017), Competition Track, Long Beach, USA, 2018.

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

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2934190

  M. Schilling and A. Melnik, “An Approach to Hierarchical Deep Reinforcement Learning for a Decentralized Walking Control Architecture”, Biologically Inspired Cognitive Architectures 2018. Proceedings of the Ninth Annual Meeting of the BICA Society, A.V. Samsonovic, ed., Advances in Intelligent Systems and Computing, vol. 848, Cham: Springer , 2018, pp.272-282.

  PUB | DOI
   
• [2]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2940668

  A. Melnik, et al., “Systems, Subjects, Sessions: To What Extent Do These Factors Influence EEG Data?”, Frontiers in Human Neuroscience, vol. 11, 2017, pp. 150.

  PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
   
• [1]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2940669

  A. Melnik, et al., “EEG correlates of sensorimotor processing: independent components involved in sensory and motor processing”, Scientific Reports, vol. 7, 2017, : 4461.

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