Thomy Phan

88 papers A* 12A 10C 5Misc 2Journal 37Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dynamic Incentivized Cooperation under Changing Rewards.
CoRR
Philipp Altmann, Thomy Phan, Maximilian Zorn, Claudia Linnhoff-Popien, Sven Koenig
2026 A* conf
Spatially Grouped Curriculum Learning for Multi-Agent Path Finding.
AAAI
Thomy Phan, Sven Koenig
2026 A* conf
Truncated Counterfactual Learning for Anytime Multi-Agent Path Finding.
AAAI
Thomy Phan, Shao-Hung Chan, Sven Koenig
2025 A* conf
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic.
AAAI
Thomy Phan, Benran Zhang, Shao-Hung Chan, Sven Koenig
2025 J jnl
Correction: Discriminative reward co-training.
Neural Comput. Appl.
Philipp Altmann, Fabian Ritz, Maximilian Zorn, Michael Kölle, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien
2025 A* conf
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning.
AAAI
Thomy Phan, Shao-Hung Chan, Sven Koenig
2025 J jnl
Discriminative reward co-training.
Neural Comput. Appl.
Philipp Altmann, Fabian Ritz, Maximilian Zorn, Michael Kölle, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien
2025 J jnl
Generative Curricula for Multi-Agent Path Finding via Unsupervised and Reinforcement Learning.
J. Artif. Intell. Res.
Thomy Phan, Timy Phan, Sven Koenig
2025 J jnl
Multi-Agent Path Finding Among Dynamic Uncontrollable Agents with Statistical Safety Guarantees.
CoRR
Kegan J. Strawn, Thomy Phan, Eric Wang, Nora Ayanian, Sven Koenig, Lars Lindemann
2025 J jnl
New Mechanisms in Flex Distribution for Bounded Suboptimal Multi-Agent Path Finding.
CoRR
Shao-Hung Chan, Thomy Phan, Jiaoyang Li, Sven Koenig
2025 — conf
Operation Parallelism in Large Neighborhood Search for Anytime Multi-Agent Path Finding.
MRS
Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Sven Koenig, Tsung-Wei Huang, Thomy Phan
2024 A* conf
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search.
AAAI
Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig
2024 A conf
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search.
AAMAS
Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Sven Koenig, Tsung-Wei Huang, Thomy Phan
2024 J jnl
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search.
CoRR
Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Tsung-Wei Huang, Sven Koenig, Thomy Phan
2024 J jnl
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic.
CoRR
Thomy Phan, Benran Zhang, Shao-Hung Chan, Sven Koenig
2024 — conf
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics Through Multi-Agent Reinforcement Learning Algorithms.
ICAART (1)
Michael Kölle, Yannick Erpelding, Fabian Ritz, Thomy Phan, Steffen Illium, Claudia Linnhoff-Popien
2024 J jnl
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms.
CoRR
Michael Kölle, Yannick Erpelding, Fabian Ritz, Thomy Phan, Steffen Illium, Claudia Linnhoff-Popien
2024 — conf
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization.
ICAART (Revised Selected Paper, 1)
Michael Kölle, Karola Schneider, Sabrina Egger, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien
2024 J jnl
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization.
CoRR
Michael Kölle, Karola Schneider, Sabrina Egger, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien
2024 Misc conf
Challenges for Reinforcement Learning in Quantum Circuit Design.
QCE
Philipp Altmann, Jonas Stein, Michael Kölle, Adelina Bärligea, Maximilian Zorn, Thomas Gabor, Thomy Phan, Sebastian Feld, Claudia Linnhoff-Popien
2024 — conf
ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering.
ICAART (1)
Robert Müller, Hasan Turalic, Thomy Phan, Michael Kölle, Jonas Nüßlein, Claudia Linnhoff-Popien
2024 J jnl
ClusterComm: Discrete Communication in Decentralized MARL using Internal Representation Clustering.
CoRR
Robert Müller, Hasan Turalic, Thomy Phan, Michael Kölle, Jonas Nüßlein, Claudia Linnhoff-Popien
2024 A conf
Confidence-Based Curriculum Learning for Multi-Agent Path Finding.
AAMAS
Thomy Phan, Joseph Driscoll, Justin Romberg, Sven Koenig
2024 J jnl
Confidence-Based Curriculum Learning for Multi-Agent Path Finding.
CoRR
Thomy Phan, Joseph Driscoll, Justin Romberg, Sven Koenig
2024 J jnl
Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning.
Auton. Agents Multi Agent Syst.
Thomy Phan, Felix Sommer, Fabian Ritz, Philipp Altmann, Jonas Nüßlein, Michael Kölle, Lenz Belzner, Claudia Linnhoff-Popien
2024 J jnl
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange.
CoRR
Philipp Altmann, Katharina Winter, Michael Kölle, Maximilian Zorn, Thomy Phan, Claudia Linnhoff-Popien
2024 — conf
Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization.
ICAART (1)
Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien
2024 A conf
Quantum Circuit Design: A Reinforcement Learning Challenge.
AAMAS
Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien
2023 J jnl
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search.
CoRR
Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig
2023 — conf
Adaptive Bi-nonlinear Neural Networks Based on Complex Numbers with Weights Constrained Along the Unit Circle.
PAKDD (1)
Felip Guimerà Cuevas, Thomy Phan, Helmut Schmid
2023 A* conf
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability.
ICML
Thomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien
2023 A conf
Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty.
AAMAS
Thomy Phan, Fabian Ritz, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien
2023 J jnl
Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty.
CoRR
Thomy Phan, Fabian Ritz, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien
2023 A* conf
CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing.
IJCAI
Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff-Popien, Thomy Phan
2023 J jnl
CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing.
CoRR
Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff-Popien, Thomy Phan
2023 J jnl
Challenges for Reinforcement Learning in Quantum Computing.
CoRR
Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien
2023 J jnl
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training.
CoRR
Philipp Altmann, Thomy Phan, Fabian Ritz, Thomas Gabor, Claudia Linnhoff-Popien
2023 — —
Emergence and resilience in multi-agent reinforcement learning.
Thomy Phan
2023 — ch.
Emergenz und Resilienz in lernenden Multiagentensystemen.
Ausgezeichnete Informatikdissertationen
Thomy Phan
2023 J jnl
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization.
CoRR
Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien
2022 — conf
Capturing Dependencies Within Machine Learning via a Formal Process Model.
ISoLA (3)
Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor
2022 J jnl
Capturing Dependencies within Machine Learning via a Formal Process Model.
CoRR
Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor
2022 A conf
Emergent Cooperation from Mutual Acknowledgment Exchange.
AAMAS
Thomy Phan, Felix Sommer, Philipp Altmann, Fabian Ritz, Lenz Belzner, Claudia Linnhoff-Popien
2022 A conf
Towards Anomaly Detection in Reinforcement Learning.
AAMAS
Robert Müller, Steffen Illium, Thomy Phan, Tom Haider, Claudia Linnhoff-Popien
2021 C conf
A Sustainable Ecosystem through Emergent Cooperation in Multi-Agent Reinforcement Learning.
ALIFE
Fabian Ritz, Daniel Ratke, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien
2021 J jnl
Productive fitness in diversity-aware evolutionary algorithms.
Nat. Comput.
Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien
2021 A* conf
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition.
AAAI
Thomy Phan, Lenz Belzner, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Claudia Linnhoff-Popien
2021 — conf
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning.
ICAART (1)
Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien
2021 — conf
Specification Aware Multi-Agent Reinforcement Learning.
ICAART (Revised Selected Papers)
Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien
2021 A* conf
VAST: Value Function Factorization with Variable Agent Sub-Teams.
NeurIPS
Thomy Phan, Fabian Ritz, Lenz Belzner, Philipp Altmann, Thomas Gabor, Claudia Linnhoff-Popien
2020 — conf
A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games.
ICCS (6)
Christoph Roch, Thomy Phan, Sebastian Feld, Robert Müller, Thomas Gabor, Carsten Hahn, Claudia Linnhoff-Popien
2020 J jnl
Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning.
CoRR
Markus Friedrich, Sebastian Feld, Thomy Phan, Pierre-Alain Fayolle
2020 — conf
Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA.
ICRC
Christoph Roch, Alexander Impertro, Thomy Phan, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien
2020 C conf
Foraging Swarms using Multi-Agent Reinforcement Learning.
ALIFE
Carsten Hahn, Fabian Ritz, Paula Wikidal, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien
2020 — conf
Insights on Training Neural Networks for QUBO Tasks.
ICSE (Workshops)
Thomas Gabor, Sebastian Feld, Hila Safi, Thomy Phan, Claudia Linnhoff-Popien
2020 J jnl
Insights on Training Neural Networks for QUBO Tasks.
CoRR
Thomas Gabor, Sebastian Feld, Hila Safi, Thomy Phan, Claudia Linnhoff-Popien
2020 A conf
Learning and Testing Resilience in Cooperative Multi-Agent Systems.
AAMAS
Thomy Phan, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt, Marc Zeller, Claudia Linnhoff-Popien
2020 — conf
Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information.
ICAART (1)
Kyrill Schmid, Lenz Belzner, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien
2020 — conf
Nash Equilibria in Multi-Agent Swarms.
ICAART (1)
Carsten Hahn, Thomy Phan, Sebastian Feld, Christoph Roch, Fabian Ritz, Andreas Sedlmeier, Thomas Gabor, Claudia Linnhoff-Popien
2020 J jnl
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning.
CoRR
Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien
2020 — conf
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline.
ICSE (Workshops)
Thomas Gabor, Leo Sünkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien
2020 J jnl
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline.
CoRR
Thomas Gabor, Leo Sünkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien
2020 J jnl
The scenario coevolution paradigm: adaptive quality assurance for adaptive systems.
Int. J. Softw. Tools Technol. Transf.
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
2020 C conf
Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting.
ALIFE
Fabian Ritz, Felix Hohnstein, Robert Müller, Thomy Phan, Thomas Gabor, Carsten Hahn, Claudia Linnhoff-Popien
2020 J jnl
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning.
CoRR
Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien
2020 — conf
Uncertainty-based Out-of-Distribution Classification in Deep Reinforcement Learning.
ICAART (2)
Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien
2019 J jnl
A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games.
CoRR
Christoph Roch, Thomy Phan, Sebastian Feld, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien
2019 A* conf
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning.
IJCAI
Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien
2019 J jnl
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning.
CoRR
Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien
2019 A conf
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies.
AAMAS
Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien
2019 J jnl
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies.
CoRR
Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien
2019 J jnl
Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning.
CoRR
Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien
2019 C conf
Emergent Escape-based Flocking behavior using Multi-Agent Reinforcement Learning.
ALIFE
Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien
2019 A* conf
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling.
AAAI
Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien
2019 J jnl
Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling.
CoRR
Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien
2019 A conf
Scenario co-evolution for reinforcement learning on a grid world smart factory domain.
GECCO
Thomas Gabor, Andreas Sedlmeier, Marie Kiermeier, Thomy Phan, Marcel Henrich, Monika Pichlmair, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt
2019 A* conf
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search.
IJCAI
Thomas Gabor, Jan Peter, Thomy Phan, Christian Meyer, Claudia Linnhoff-Popien
2019 J jnl
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning.
CoRR
Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien
2018 — conf
Action Markets in Deep Multi-Agent Reinforcement Learning.
ICANN (2)
Kyrill Schmid, Lenz Belzner, Thomas Gabor, Thomy Phan
2018 — conf
Anomaly Detection in Spatial Layer Models of Autonomous Agents.
IDEAL (1)
Marie Kiermeier, Sebastian Feld, Thomy Phan, Claudia Linnhoff-Popien
2018 A conf
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation.
AAMAS
Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid
2018 J jnl
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation.
CoRR
Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid
2018 C conf
Monitoring Autonomous Agents in Self-Organizing Industrial Systems.
INDIN
Marie Kiermeier, Thomy Phan, Horst Sauer, Jan Wieghardt
2018 — conf
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms.
ICAC
Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid
2018 J jnl
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms.
CoRR
Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid
2018 Misc conf
Risk-Sensitivity in Simulation Based Online Planning.
KI
Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomy Phan, Thomas Gabor, Claudia Linnhoff
2018 J jnl
The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents.
CoRR
Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing
2018 — conf
The Sharer's Dilemma in Collective Adaptive Systems of Self-interested Agents.
ISoLA (3)
Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing