Fabian Ritz

发表

A Distributed Policy Iteration Scheme for Cooperative Multi-Agent Policy Approximation

Sebastian Feld, C. Linnhoff-Popien, Thomy Phan, 2020 .

The Impact of Uncle Rewards on Selfish Mining in Ethereum

Alf Zugenmaier, Fabian Ritz, A. Zugenmaier, 2018, 2018 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW).

Soccer Team Vectors pdf

Robert Müller, Claudia Linnhoff-Popien, Stefan Langer, 2019, PKDD/ECML Workshops.

Emergent Cooperation from Mutual Acknowledgment Exchange

C. Linnhoff-Popien, Thomy Phan, Lenz Belzner, 2022, AAMAS.

Capturing Dependencies within Machine Learning via a Formal Process Model

Reiner N. Schmid, C. Linnhoff-Popien, Thomy Phan, 2022, ISoLA.

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

C. Linnhoff-Popien, Thomy Phan, Thomas Gabor, 2023, Adaptive Agents and Multi-Agent Systems.

Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition

Lenz Belzner, Claudia Linnhoff-Popien, Thomas Gabor, 2021, AAAI.

Learning and Testing Resilience in Cooperative Multi-Agent Systems

Jan Wieghardt, Horst Sauer, Marc Zeller, 2020, AAMAS.

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

C. Linnhoff-Popien, Thomy Phan, Thomas Gabor, 2023, ArXiv.

Nash Equilibria in Multi-Agent Swarms

Claudia Linnhoff-Popien, Thomas Gabor, Carsten Hahn, 2020, ICAART.

Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning pdf

Robert Müller, Claudia Linnhoff-Popien, Steffen Illium, 2020, ICAART.

Deep Neural Baselines for Computational Paralinguistics pdf

Robert Müller, Stefan Langer, Steffen Illium, 2019, INTERSPEECH.

Attention-Based Recurrence for Multi-Agent Reinforcement Learning under State Uncertainty

C. Linnhoff-Popien, Thomy Phan, Thomas Gabor, 2023 .

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

Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien, 2020, ALIFE.

VAST: Value Function Factorization with Variable Agent Sub-Teams

C. Linnhoff-Popien, Thomy Phan, Lenz Belzner, 2021, NeurIPS.

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

C. Linnhoff-Popien, Thomy Phan, Thomas Gabor, 2023, ICML.

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

Jan Wieghardt, Claudia Linnhoff-Popien, Horst Sauer, 2020, ICAART.

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

Lenz Belzner, Thomas Gabor, Claudia Linnhoff-Popien, 2020, ICSE.

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

C. Linnhoff-Popien, Thomy Phan, Lenz Belzner, 2021, ALIFE.

Foraging Swarms using Multi-Agent Reinforcement Learning

Thomas Gabor, Claudia Linnhoff-Popien, Carsten Hahn, 2020, ALIFE.

Acoustic Leak Detection in Water Networks pdf

Robert Müller, Claudia Linnhoff-Popien, Steffen Illium, 2020, ICAART.

Analysis of Feature Representations for Anomalous Sound Detection pdf

Robert Müller, Steffen Illium, Fabian Ritz, 2020, ICAART.

The scenario coevolution paradigm: adaptive quality assurance for adaptive systems

Reiner N. Schmid, C. Linnhoff-Popien, Thomy Phan, 2020, International Journal on Software Tools for Technology Transfer.

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

C. Linnhoff-Popien, Thomy Phan, Fabian Ritz, 2023, IJCAI.

Quantum Advantage Actor-Critic for Reinforcement Learning

Fabian Ritz, Philipp Altmann, Maximilian Zorn, 2024, arXiv.org.