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Lenz Belzner
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Publications
- 2022
- [c40]Thomy Phan, Felix Sommer, Philipp Altmann, Fabian Ritz, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent Cooperation from Mutual Acknowledgment Exchange. AAMAS 2022: 1047-1055 - 2021
- [c38]Thomy Phan, Lenz Belzner, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Claudia Linnhoff-Popien:
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition. AAAI 2021: 11308-11316 - [c33]Fabian Ritz, Daniel Ratke, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
A Sustainable Ecosystem through Emergent Cooperation in Multi-Agent Reinforcement Learning. ALIFE 2021: 74 - [c32]Thomy Phan, Fabian Ritz, Lenz Belzner, Philipp Altmann, Thomas Gabor, Claudia Linnhoff-Popien:
VAST: Value Function Factorization with Variable Agent Sub-Teams. NeurIPS 2021: 24018-24032 - 2020
- [j3]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): 457-476 (2020) - [c31]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: 144-151 - [c30]Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
Uncertainty-based Out-of-Distribution Classification in Deep Reinforcement Learning. ICAART (2) 2020: 522-529 - [c29]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: 456-461 - [i20]Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning. CoRR abs/2001.00496 (2020) - [i17]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 abs/2004.14035 (2020) - 2019
- [c28]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: 7941-7948 - [c27]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: 2162-2164 - [c24]Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent Escape-based Flocking behavior using Multi-Agent Reinforcement Learning. ALIFE 2019: 598-605 - [i15]Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning. CoRR abs/1901.02219 (2019) - [i14]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 abs/1901.08761 (2019) - [i13]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 abs/1905.04020 (2019) - [i12]Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning. CoRR abs/1905.04077 (2019) - 2018
- [c23]Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid:
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation. AAMAS 2018: 730-738 - [c20]Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid:
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms. ICAC 2018: 131-140 - [c19]Kyrill Schmid, Lenz Belzner, Thomas Gabor, Thomy Phan:
Action Markets in Deep Multi-Agent Reinforcement Learning. ICANN (2) 2018: 240-249 - [c18]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: 241-256 - [c17]Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomy Phan, Thomas Gabor, Claudia Linnhoff:
Risk-Sensitivity in Simulation Based Online Planning. KI 2018: 229-240 - [i11]Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid:
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation. CoRR abs/1804.06311 (2018) - [i10]Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing:
The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents. CoRR abs/1804.10781 (2018) - [i8]Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid:
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms. CoRR abs/1810.12483 (2018)
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