Thomy Phan

Orcid: 0000-0002-4390-8954

According to our database¹, Thomy Phan authored at least 55 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Auton. Agents Multi Agent Syst., December, 2024

Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic.

[BibT_eX]

[DOI]

CoRR, 2024

Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

CoRR, 2024

MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

CoRR, 2024

ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics Through Multi-Agent Reinforcement Learning Algorithms.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Confidence-Based Curriculum Learning for Multi-Agent Path Finding.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Quantum Circuit Design: A Reinforcement Learning Challenge.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Emergenz und Resilienz in lernenden Multiagentensystemen.

[BibT_eX]

[DOI]

Thomy Phan

Proceedings of the Ausgezeichnete Informatikdissertationen 2023., 2023

Emergence and resilience in multi-agent reinforcement learning.

[BibT_eX]

[DOI]

Thomy Phan

PhD thesis, 2023

Challenges for Reinforcement Learning in Quantum Computing.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

CoRR, 2023

DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

CoRR, 2023

Adaptive Bi-nonlinear Neural Networks Based on Complex Numbers with Weights Constrained Along the Unit Circle.

[BibT_eX]

[DOI]

Felip Guimerà Cuevas

Thomy Phan

Helmut Schmid

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Thomy Phan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the International Conference on Machine Learning, 2023

Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Capturing Dependencies Within Machine Learning via a Formal Process Model.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Thomas Gabor

Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning, 2022

Emergent Cooperation from Mutual Acknowledgment Exchange.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Towards Anomaly Detection in Reinforcement Learning.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Productive fitness in diversity-aware evolutionary algorithms.

[BibT_eX]

[DOI]

Thomas Gabor

Thomy Phan

Claudia Linnhoff-Popien

Nat. Comput., 2021

VAST: Value Function Factorization with Variable Agent Sub-Teams.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Sustainable Ecosystem through Emergent Cooperation in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 2021 Conference on Artificial Life, 2021

Specification Aware Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the Agents and Artificial Intelligence - 13th International Conference, 2021

SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The scenario coevolution paradigm: adaptive quality assurance for adaptive systems.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Int. J. Softw. Tools Technol. Transf., 2020

Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 2020 Conference on Artificial Life, 2020

Foraging Swarms using Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 2020 Conference on Artificial Life, 2020

The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Insights on Training Neural Networks for QUBO Tasks.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the International Conference on Rebooting Computing, 2020

A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the Computational Science - ICCS 2020, 2020

Uncertainty-based Out-of-Distribution Classification in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Nash Equilibria in Multi-Agent Swarms.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Learning and Testing Resilience in Cooperative Multi-Agent Systems.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

CoRR, 2019

Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

CoRR, 2019

Emergent Escape-based Flocking behavior using Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 2019 Conference on Artificial Life, 2019

Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Scenario co-evolution for reinforcement learning on a grid world smart factory domain.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling.

[BibT_eX]

[DOI]

Claudia Linnhoff-Popien

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Risk-Sensitivity in Simulation Based Online Planning.

[BibT_eX]

[DOI]

Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

The Sharer's Dilemma in Collective Adaptive Systems of Self-interested Agents.

[BibT_eX]

[DOI]

Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Distributed Systems, 2018

Monitoring Autonomous Agents in Self-Organizing Industrial Systems.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Anomaly Detection in Spatial Layer Models of Autonomous Agents.

[BibT_eX]

[DOI]

Marie Kiermeier

Sebastian Feld

Thomy Phan

Claudia Linnhoff-Popien

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Action Markets in Deep Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018

Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Thomy Phan

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...