Thomy Phan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 72

Top Topics

Nash Equilibria

Partial Observability

Reinforcement Learning

Adaptive Systems

Top Venues

Publications

Thomy Phan, Joseph Driscoll, Justin Romberg, Sven Koenig
Confidence-Based Curriculum Learning for Multi-Agent Path Finding. CoRR (2024)
Thomy Phan, Joseph Driscoll, Justin Romberg, Sven Koenig
Confidence-Based Curriculum Learning for Multi-Agent Path Finding. AAMAS (2024)
Philipp Altmann, Katharina Winter, Michael Kölle, Maximilian Zorn, Thomy Phan, Claudia Linnhoff-Popien
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange. CoRR (2024)
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 (2024)
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 (2024)
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) (2024)
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 (2024)
Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. AAAI (2024)
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)
Robert Müller, Hasan Turalic, Thomy Phan, Michael Kölle, Jonas Nüßlein, Claudia Linnhoff-Popien
ClusterComm: Discrete Communication in Decentralized MARL using Internal Representation Clustering. CoRR (2024)
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)
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)
Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien
Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization. ICAART (1) (2024)
Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien
Quantum Circuit Design: A Reinforcement Learning Challenge. AAMAS (2024)
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 (2023)
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)
Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien
Challenges for Reinforcement Learning in Quantum Computing. CoRR (2023)
Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. CoRR (2023)
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 (2023)
Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization. CoRR (2023)
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)
Philipp Altmann, Thomy Phan, Fabian Ritz, Thomas Gabor, Claudia Linnhoff-Popien
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training. CoRR (2023)
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)
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)
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 (2022)
Robert Müller, Steffen Illium, Thomy Phan, Tom Haider, Claudia Linnhoff-Popien
Towards Anomaly Detection in Reinforcement Learning. AAMAS (2022)
Thomy Phan, Felix Sommer, Philipp Altmann, Fabian Ritz, Lenz Belzner, Claudia Linnhoff-Popien
Emergent Cooperation from Mutual Acknowledgment Exchange. AAMAS (2022)
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)
Fabian Ritz, Daniel Ratke, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien
A Sustainable Ecosystem through Emergent Cooperation in Multi-Agent Reinforcement Learning. ALIFE (2021)
Thomy Phan, Fabian Ritz, Lenz Belzner, Philipp Altmann, Thomas Gabor, Claudia Linnhoff-Popien
VAST: Value Function Factorization with Variable Agent Sub-Teams. NeurIPS (2021)
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)
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)
Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien
Productive fitness in diversity-aware evolutionary algorithms. Nat. Comput. 20 (3) (2021)
Thomy Phan, Lenz Belzner, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Claudia Linnhoff-Popien
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition. AAAI (2021)
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)
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)
Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning. CoRR (2020)
Carsten Hahn, Fabian Ritz, Paula Wikidal, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien
Foraging Swarms using Multi-Agent Reinforcement Learning. ALIFE (2020)
Thomas Gabor, Sebastian Feld, Hila Safi, Thomy Phan, Claudia Linnhoff-Popien
Insights on Training Neural Networks for QUBO Tasks. ICSE (Workshops) (2020)
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)
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)
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)
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)
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 (2020)
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) (2020)
Markus Friedrich, Sebastian Feld, Thomy Phan, Pierre-Alain Fayolle
Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning. CoRR (2020)
Thomas Gabor, Sebastian Feld, Hila Safi, Thomy Phan, Claudia Linnhoff-Popien
Insights on Training Neural Networks for QUBO Tasks. CoRR (2020)
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)
Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien
Uncertainty-based Out-of-Distribution Classification in Deep Reinforcement Learning. ICAART (2) (2020)
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 (2020)
Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning. CoRR (2019)
Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning. IJCAI (2019)
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 (2019)
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)
Thomas Gabor, Jan Peter, Thomy Phan, Christian Meyer, Claudia Linnhoff-Popien
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search. IJCAI (2019)
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)
Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning. CoRR (2019)
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)
Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien
Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning. CoRR (2019)
Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien
Emergent Escape-based Flocking behavior using Multi-Agent Reinforcement Learning. ALIFE (2019)
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 (2019)
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 (2019)
Marie Kiermeier, Thomy Phan, Horst Sauer, Jan Wieghardt
Monitoring Autonomous Agents in Self-Organizing Industrial Systems. INDIN (2018)
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)
Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing
The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents. CoRR (2018)
Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms. CoRR (2018)
Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation. AAMAS (2018)
Marie Kiermeier, Sebastian Feld, Thomy Phan, Claudia Linnhoff-Popien
Anomaly Detection in Spatial Layer Models of Autonomous Agents. IDEAL (1) (2018)
Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms. ICAC (2018)
Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation. CoRR (2018)
Kyrill Schmid, Lenz Belzner, Thomas Gabor, Thomy Phan
Action Markets in Deep Multi-Agent Reinforcement Learning. ICANN (2) (2018)
Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomy Phan, Thomas Gabor, Claudia Linnhoff
Risk-Sensitivity in Simulation Based Online Planning. KI (2018)