Fabian Ritz

Orcid: 0000-0001-7707-1358

According to our database1, Fabian Ritz authored at least 25 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Quantum Advantage Actor-Critic for Reinforcement Learning.
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.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training.
CoRR, 2023

CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability.
Proceedings of the International Conference on Machine Learning, 2023

Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Capturing Dependencies Within Machine Learning via a Formal Process Model.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning, 2022

Emergent Cooperation from Mutual Acknowledgment Exchange.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
VAST: Value Function Factorization with Variable Agent Sub-Teams.
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.
Proceedings of the 2021 Conference on Artificial Life, 2021

Specification Aware Multi-Agent Reinforcement Learning.
Proceedings of the Agents and Artificial Intelligence - 13th International Conference, 2021

SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Acoustic Leak Detection in Water Networks.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Analysis of Feature Representations for Anomalous Sound Detection.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
The scenario coevolution paradigm: adaptive quality assurance for adaptive systems.
Int. J. Softw. Tools Technol. Transf., 2020

Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting.
Proceedings of the 2020 Conference on Artificial Life, 2020

Foraging Swarms using Multi-Agent Reinforcement Learning.
Proceedings of the 2020 Conference on Artificial Life, 2020

The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Nash Equilibria in Multi-Agent Swarms.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Learning and Testing Resilience in Cooperative Multi-Agent Systems.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Soccer Team Vectors.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Deep Neural Baselines for Computational Paralinguistics.
Proceedings of the Interspeech 2019, 2019

2018
The Impact of Uncle Rewards on Selfish Mining in Ethereum.
Proceedings of the 2018 IEEE European Symposium on Security and Privacy Workshops, 2018


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