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Thomy Phan
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Ultra-High Resolution 3D Imaging of Whole Cells
F Huang, G Sirinakis, ES Allgeyer, LK Schroeder, WC Duim, EB Kromann, ...
Cell 166 (4), 1028-1040, 2016
2892016
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition
T Phan, L Belzner, T Gabor, A Sedlmeier, F Ritz, C Linnhoff-Popien
Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11308 …, 2021
322021
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning
A Sedlmeier, T Gabor, T Phan, L Belzner, C Linnhoff-Popien
arXiv preprint arXiv:1901.02219, 2019
312019
Learning and Testing Resilience in Cooperative Multi-Agent Systems
T Phan, T Gabor, A Sedlmeier, F Ritz, B Kempter, C Klein, H Sauer, ...
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
292020
Emergent Escape-Based Flocking Behavior Using Multi-Agent Reinforcement Learning
C Hahn, T Phan, T Gabor, L Belzner, C Linnhoff-Popien
Artificial Life Conference Proceedings, 598-605, 2019
272019
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline
T Gabor, L Sünkel, F Ritz, T Phan, L Belzner, C Roch, S Feld, ...
Proceedings of the IEEE/ACM 42nd international conference on software …, 2020
242020
The Scenario Coevolution Paradigm: Adaptive Quality Assurance for Adaptive Systems
T Gabor, A Sedlmeier, T Phan, F Ritz, M Kiermeier, L Belzner, B Kempter, ...
International Journal on Software Tools for Technology Transfer 22, 457-476, 2020
222020
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning
A Sedlmeier, T Gabor, T Phan, L Belzner, C Linnhoff-Popien
arXiv preprint arXiv:2001.00496, 2019
222019
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation
T Phan, L Belzner, T Gabor, K Schmid
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
192018
VAST: Value Function Factorization with Variable Agent Sub-Teams
T Phan, F Ritz, L Belzner, P Altmann, T Gabor, C Linnhoff-Popien
Advances in Neural Information Processing Systems 34, 24018-24032, 2021
172021
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms
T Gabor, L Belzner, T Phan, K Schmid
2018 IEEE international conference on autonomic computing (ICAC), 131-140, 2018
172018
Scenario Co-Evolution for Reinforcement Learning on a Grid World Smart Factory Domain
T Gabor, A Sedlmeier, M Kiermeier, T Phan, M Henrich, M Pichlmair, ...
Proceedings of the Genetic and Evolutionary Computation Conference, 898-906, 2019
142019
Foraging Swarms Using Multi-Agent Reinforcement Learning
C Hahn, F Ritz, P Wikidal, T Phan, T Gabor, C Linnhoff-Popien
Artificial Life Conference Proceedings 32, 333-340, 2020
122020
Towards anomaly detection in reinforcement learning
R Müller, S Illium, T Phan, T Haider, C Linnhoff-Popien
Proceedings of the 21st International Conference on Autonomous Agents and …, 2022
112022
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling
T Phan, L Belzner, M Kiermeier, M Friedrich, K Schmid, C Linnhoff-Popien
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7941-7948, 2019
112019
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search.
T Gabor, J Peter, T Phan, C Meyer, C Linnhoff-Popien
IJCAI, 5562-5568, 2019
112019
Action Markets in Deep Multi-Agent Reinforcement Learning
K Schmid, L Belzner, T Gabor, T Phan
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018
112018
Capturing Dependencies within Machine Learning via a Formal Process Model
F Ritz, T Phan, A Sedlmeier, P Altmann, J Wieghardt, R Schmid, H Sauer, ...
International Symposium on Leveraging Applications of Formal Methods, 249-265, 2022
92022
Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA
C Roch, A Impertro, T Phan, T Gabor, S Feld, C Linnhoff-Popien
2020 International Conference on Rebooting Computing (ICRC), 50-57, 2020
82020
Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning
M Friedrich, S Feld, T Phan, PA Fayolle
arXiv preprint arXiv:2008.03669, 2020
72020
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