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2020 – today
- 2024
[j3]Thomy Phan, Felix Sommer, Fabian Ritz, Philipp Altmann, Jonas Nüßlein, Michael Kölle, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 38(2): 34 (2024)- [c42]Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig:
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. AAAI 2024: 17514-17522 - [c41]Thomy Phan, Joseph Driscoll, Justin Romberg, Sven Koenig:
Confidence-Based Curriculum Learning for Multi-Agent Path Finding. AAMAS 2024: 1558-1566 - [c40]Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien:
Quantum Circuit Design: A Reinforcement Learning Challenge. AAMAS 2024: 2123-2125 - [c39]Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Sven Koenig, Tsung-Wei Huang, Thomy Phan:
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search. AAMAS 2024: 2183-2185 - [c38]Michael Kölle
, Yannick Erpelding, Fabian Ritz, Thomy Phan, Steffen Illium, Claudia Linnhoff-Popien:
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics Through Multi-Agent Reinforcement Learning Algorithms. ICAART (1) 2024: 59-70 - [c37]Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien:
Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization. ICAART (1) 2024: 71-82 - [c36]Robert Müller, Hasan Turalic, Thomy Phan, Michael Kölle, Jonas Nüßlein, Claudia Linnhoff-Popien:
ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering. ICAART (1) 2024: 305-312 - [i28]Robert Müller, Hasan Turalic, Thomy Phan, Michael Kölle, Jonas Nüßlein, Claudia Linnhoff-Popien:
ClusterComm: Discrete Communication in Decentralized MARL using Internal Representation Clustering. CoRR abs/2401.03504 (2024) - [i27]Thomy Phan, Joseph Driscoll, Justin Romberg, Sven Koenig:
Confidence-Based Curriculum Learning for Multi-Agent Path Finding. CoRR abs/2401.05860 (2024) - [i26]Michael Kölle, Yannick Erpelding, Fabian Ritz, Thomy Phan, Steffen Illium, Claudia Linnhoff-Popien:
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms. CoRR abs/2401.07056 (2024) - [i25]Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Tsung-Wei Huang, Sven Koenig, Thomy Phan:
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search. CoRR abs/2402.01961 (2024) - [i24]Philipp Altmann, Katharina Winter, Michael Kölle, Maximilian Zorn, Thomy Phan, Claudia Linnhoff-Popien:
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange. CoRR abs/2404.03431 (2024) - [i23]Michael Kölle, Karola Schneider, Sabrina Egger, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien:
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization. CoRR abs/2407.20739 (2024) - [i22]Thomy Phan, Benran Zhang, Shao-Hung Chan, Sven Koenig:
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic. CoRR abs/2408.02960 (2024) - 2023
- [b1]Thomy Phan:
Emergence and resilience in multi-agent reinforcement learning. Ludwig Maximilian University of Munich, Germany, 2023 - [c35]Thomy Phan, Fabian Ritz, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien:
Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty. AAMAS 2023: 2839-2841 - [c34]Thomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien:
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability. ICML 2023: 27840-27853 - [c33]Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff-Popien, Thomy Phan:
CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing. IJCAI 2023: 3414-3422 - [c32]Felip Guimerà Cuevas, Thomy Phan, Helmut Schmid:
Adaptive Bi-nonlinear Neural Networks Based on Complex Numbers with Weights Constrained Along the Unit Circle. PAKDD (1) 2023: 355-366 - [p1]Thomy Phan:
Emergenz und Resilienz in lernenden Multiagentensystemen. Ausgezeichnete Informatikdissertationen 2023: 231-240 - [i21]Thomy Phan, Fabian Ritz, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien:
Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty. CoRR abs/2301.01649 (2023) - [i20]Philipp Altmann, Thomy Phan, Fabian Ritz, Thomas Gabor, Claudia Linnhoff-Popien:
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training. CoRR abs/2301.07421 (2023) - [i19]Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff-Popien, Thomy Phan:
CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing. CoRR abs/2304.13616 (2023) - [i18]Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien:
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization. CoRR abs/2311.05546 (2023) - [i17]Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien:
Challenges for Reinforcement Learning in Quantum Computing. CoRR abs/2312.11337 (2023) - [i16]Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig:
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. CoRR abs/2312.16767 (2023) - 2022
- [c31]Thomy Phan, Felix Sommer, Philipp Altmann, Fabian Ritz, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent Cooperation from Mutual Acknowledgment Exchange. AAMAS 2022: 1047-1055 - [c30]Robert Müller, Steffen Illium, Thomy Phan, Tom Haider, Claudia Linnhoff-Popien:
Towards Anomaly Detection in Reinforcement Learning. AAMAS 2022: 1799-1803 - [c29]Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor:
Capturing Dependencies Within Machine Learning via a Formal Process Model. ISoLA (3) 2022: 249-265 - [i15]Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor:
Capturing Dependencies within Machine Learning via a Formal Process Model. CoRR abs/2208.05219 (2022) - 2021
- [j2]Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien:
Productive fitness in diversity-aware evolutionary algorithms. Nat. Comput. 20(3): 363-376 (2021) - [c28]Thomy Phan, Lenz Belzner, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Claudia Linnhoff-Popien:
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition. AAAI 2021: 11308-11316 - [c27]Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien:
Specification Aware Multi-Agent Reinforcement Learning. ICAART (Revised Selected Papers) 2021: 3-21 - [c26]Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien:
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning. ICAART (1) 2021: 28-37 - [c25]Fabian Ritz, Daniel Ratke, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
A Sustainable Ecosystem through Emergent Cooperation in Multi-Agent Reinforcement Learning. ALIFE 2021: 74 - [c24]Thomy Phan, Fabian Ritz, Lenz Belzner, Philipp Altmann, Thomas Gabor, Claudia Linnhoff-Popien:
VAST: Value Function Factorization with Variable Agent Sub-Teams. NeurIPS 2021: 24018-24032 - 2020
- [j1]Thomas Gabor, Andreas Sedlmeier, Thomy Phan, Fabian Ritz, Marie Kiermeier, Lenz Belzner, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt, Marc Zeller, Claudia Linnhoff-Popien:
The scenario coevolution paradigm: adaptive quality assurance for adaptive systems. Int. J. Softw. Tools Technol. Transf. 22(4): 457-476 (2020) - [c23]Thomy Phan, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt, Marc Zeller, Claudia Linnhoff-Popien:
Learning and Testing Resilience in Cooperative Multi-Agent Systems. AAMAS 2020: 1055-1063 - [c22]Kyrill Schmid, Lenz Belzner, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien:
Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information. ICAART (1) 2020: 144-151 - [c21]Carsten Hahn, Thomy Phan, Sebastian Feld, Christoph Roch, Fabian Ritz, Andreas Sedlmeier, Thomas Gabor, Claudia Linnhoff-Popien:
Nash Equilibria in Multi-Agent Swarms. ICAART (1) 2020: 234-241 - [c20]Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
Uncertainty-based Out-of-Distribution Classification in Deep Reinforcement Learning. ICAART (2) 2020: 522-529 - [c19]Christoph Roch, Thomy Phan, Sebastian Feld, Robert Müller, Thomas Gabor, Carsten Hahn, Claudia Linnhoff-Popien:
A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games. ICCS (6) 2020: 488-501 - [c18]Christoph Roch, Alexander Impertro, Thomy Phan, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA. ICRC 2020: 50-57 - [c17]Thomas Gabor, Sebastian Feld, Hila Safi, Thomy Phan, Claudia Linnhoff-Popien:
Insights on Training Neural Networks for QUBO Tasks. ICSE (Workshops) 2020: 436-441 - [c16]Thomas Gabor, Leo Sünkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien:
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. ICSE (Workshops) 2020: 456-461 - [c15]Carsten Hahn, Fabian Ritz, Paula Wikidal, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien:
Foraging Swarms using Multi-Agent Reinforcement Learning. ALIFE 2020: 333-340 - [c14]Fabian Ritz, Felix Hohnstein, Robert Müller, Thomy Phan, Thomas Gabor, Carsten Hahn, Claudia Linnhoff-Popien:
Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting. ALIFE 2020: 518-525 - [i14]Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning. CoRR abs/2001.00496 (2020) - [i13]Thomas Gabor, Leo Sünkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien:
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. CoRR abs/2004.14035 (2020) - [i12]Thomas Gabor, Sebastian Feld, Hila Safi, Thomy Phan, Claudia Linnhoff-Popien:
Insights on Training Neural Networks for QUBO Tasks. CoRR abs/2004.14036 (2020) - [i11]Markus Friedrich, Sebastian Feld, Thomy Phan, Pierre-Alain Fayolle:
Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning. CoRR abs/2008.03669 (2020) - [i10]Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien:
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning. CoRR abs/2012.07949 (2020)
2010 – 2019
- 2019
- [c13]Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien:
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling. AAAI 2019: 7941-7948 - [c12]Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies. AAMAS 2019: 2162-2164 - [c11]Thomas Gabor, Andreas Sedlmeier, Marie Kiermeier, Thomy Phan, Marcel Henrich, Monika Pichlmair, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt:
Scenario co-evolution for reinforcement learning on a grid world smart factory domain. GECCO 2019: 898-906 - [c10]Thomas Gabor, Jan Peter, Thomy Phan, Christian Meyer, Claudia Linnhoff-Popien:
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search. IJCAI 2019: 5562-5568 - [c9]Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien:
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning. IJCAI 2019: 5607-5613 - [c8]Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent Escape-based Flocking behavior using Multi-Agent Reinforcement Learning. ALIFE 2019: 598-605 - [i9]Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning. CoRR abs/1901.02219 (2019) - [i8]Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies. CoRR abs/1901.08761 (2019) - [i7]Christoph Roch, Thomy Phan, Sebastian Feld, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien:
A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games. CoRR abs/1903.06454 (2019) - [i6]Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien:
Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling. CoRR abs/1905.04020 (2019) - [i5]Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning. CoRR abs/1905.04077 (2019) - [i4]Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien:
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning. CoRR abs/1907.05861 (2019) - 2018
- [c7]Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid:
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation. AAMAS 2018: 730-738 - [c6]Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid:
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms. ICAC 2018: 131-140 - [c5]Kyrill Schmid, Lenz Belzner, Thomas Gabor, Thomy Phan:
Action Markets in Deep Multi-Agent Reinforcement Learning. ICANN (2) 2018: 240-249 - [c4]Marie Kiermeier, Sebastian Feld, Thomy Phan, Claudia Linnhoff-Popien:
Anomaly Detection in Spatial Layer Models of Autonomous Agents. IDEAL (1) 2018: 156-163 - [c3]Marie Kiermeier, Thomy Phan, Horst Sauer, Jan Wieghardt:
Monitoring Autonomous Agents in Self-Organizing Industrial Systems. INDIN 2018: 653-658 - [c2]Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing:
The Sharer's Dilemma in Collective Adaptive Systems of Self-interested Agents. ISoLA (3) 2018: 241-256 - [c1]Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomy Phan, Thomas Gabor, Claudia Linnhoff:
Risk-Sensitivity in Simulation Based Online Planning. KI 2018: 229-240 - [i3]Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid:
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation. CoRR abs/1804.06311 (2018) - [i2]Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing:
The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents. CoRR abs/1804.10781 (2018) - [i1]Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid:
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms. CoRR abs/1810.12483 (2018)
Coauthor Index
Claudia Linnhoff-Popien
aka: Claudia Linnhoff
aka: Claudia Linnhoff
[j3] [c40] [c38] [c37] [c36] [i28] [i26] [i24] [i23] [c35] [c34] [c33] [i21] [i20] [i19] [i18] [i17] [c31] [c30] [c29] [i15] [j2] [c28] [c27] [c26] [c25] [c24] [j1] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i14] [i13] [i12] [i10] [c13] [c12] [c10] [c9] [c8] [i9] [i8] [i7] [i6] [i5] [i4] [c4] [c1]
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