16 Publikationen
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2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988533
Melnik, Andrew, Miasayedzenkau, Maksim, Makaravets, Dzianis, Pirshtuk, Dzianis, Akbulut, Eren, Holzmann, Dennis, Renusch, Tarek, Reichert, Gustav, and Ritter, Helge. “Face Generation and Editing With StyleGAN: A Survey”. IEEE Transactions on Pattern Analysis and Machine Intelligence 46.5 (2024): 3557-3576.PUB | PDF | DOI -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958662Schilling, Malte, Melnik, Andrew, Ohl, Frank W., Ritter, Helge, and Hammer, Barbara. “Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning”. Neural Networks 144 (2021): 699-725.PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956099
Melnik, Andrew, Lach, Luca Michael, Plappert, Matthias, Korthals, Timo, Haschke, Robert, and Ritter, Helge. “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 8 (2021): 538773.PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2020 | Preprint | PUB-ID: 2948844Harter, Augustin, Melnik, Andrew, Kumar, Gaurav, Agarwal, Dhruv, Garg, Animesh, and Ritter, Helge. “Solving Physics Puzzles by Reasoning about Paths”. arXiv:2011.07357 (2020).PUB | Download (ext.) | arXiv
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2020 | Konferenzbeitrag | PUB-ID: 2945886
Bach, Nicolas, Melnik, Andrew, Schilling, Malte, Korthals, Timo, and Ritter, Helge. “Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3”. 6th International Conference, LOD 2020, Siena, Italy, Proceedings. Springer, 2020. Lecture Notes in Computer Science.PUB | PDF
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2020 | Konferenzbeitrag | PUB-ID: 2945884
Bach, Nicolas, Melnik, Andrew, Rosetto, Federico, and Ritter, Helge. “An error-based addressing architecture for dynamic model learning”. 6th International Conference, LOD 2020, Siena, Italy, Proceedings. Springer International Publishing, 2020. Lecture Notes in Computer Science.PUB | PDF
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2019 | Zeitschriftenaufsatz | PUB-ID: 2937519
Korthals, Timo, Melnik, Andrew, Hesse, Marc, and Leitner, Jürgen. “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): 1-2.PUB | PDF
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2019 | Zeitschriftenaufsatz | PUB-ID: 2937517
Konen, Kai, Korthals, Timo, Melnik, Andrew, and Schilling, Malte. “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): 1-3.PUB | PDF
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2939836Melnik, Andrew, Bramlage, Lennart, Voss, Hendric, Rossetto, Federico, and Ritter, Helge. “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.)
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2019 | Konferenzbeitrag | PUB-ID: 2937521
Korthals, Timo, Hesse, Marc, Leitner, Jürgen, Melnik, Andrew, and Rückert, Ulrich. “Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion”. 22st International Conference on Information Fusion, (FUSION) 2019, Ottawa, CA, July 2-5, 2019. 2019. 1-8.PUB | PDF
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932767Melnik, Andrew, Schueler, Felix, Rothkopf, Constantin A., and Koenig, Peter. “The World as an External Memory. The Price of Saccades in a Sensorimotor Task”. FRONTIERS IN BEHAVIORAL NEUROSCIENCE 12 (2018): 253.PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2940661Kidziński, Łukasz, Mohanty, Sharada Prasanna, Ong, Carmichael, Huang, Zhewei, Zhou, Shuchang, Pechenko, Anton, Stelmaszczyk, Adam, Jarosik, Piotr, Pavlov, Mikhail, Kolesnikov, Sergey, Plis, Sergey, Chen, Zhibo, Zhang, Zhizheng, Chen, Jiale, Shi, Jun, Zheng, Zhuobin, Yuan, Chun, Lin, Zhihui, Michalewski, Henryk, Miłoś, Piotr, Osiński, Błażej, Melnik, Andrew, Schilling, Malte, Ritter, Helge, Carroll, Sean, Hicks, Jennifer, Levine, Sergey, Salathé, Marcel, and Delp, Scott. “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
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2934190Schilling, Malte, and Melnik, Andrew. “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. Ed. Alexei V. Samsonovic. Cham: Springer , 2018.Vol. 848. Advances in Intelligent Systems and Computing. 272-282.PUB | DOI
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2940668Melnik, Andrew, Legkov, Petr, Izdebski, Krzysztof, Kärcher, Silke M., Hairston, W. David, Ferris, Daniel P., and König, Peter. “Systems, Subjects, Sessions: To What Extent Do These Factors Influence EEG Data?”. Frontiers in Human Neuroscience 11 (2017): 150.PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2940669Melnik, Andrew, Hairston, W. David, Ferris, Daniel P., and König, Peter. “EEG correlates of sensorimotor processing: independent components involved in sensory and motor processing”. Scientific Reports 7.1 (2017): 4461.PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC