Search Results - "Belzner, Lenz"

Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning by Phan, Thomy, Sommer, Felix, Ritz, Fabian, Altmann, Philipp, Nüßlein, Jonas, Kölle, Michael, Belzner, Lenz, Linnhoff-Popien, Claudia

“…Peer incentivization (PI) is a recent approach where all agents learn to reward or penalize each other in a distributed fashion, which often leads to emergent…”
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Model-Free Distributed Reinforcement Learning State Estimation of a Dynamical System Using Integral Value Functions by Salamat, Babak, Elsbacher, Gerhard, Tonello, Andrea M., Belzner, Lenz

“…One of the challenging problems in sensor network systems is to estimate and track the state of a target point mass with unknown dynamics. Recent improvements…”
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The scenario coevolution paradigm: adaptive quality assurance for adaptive systems by Gabor, Thomas, Sedlmeier, Andreas, Phan, Thomy, Ritz, Fabian, Kiermeier, Marie, Belzner, Lenz, Kempter, Bernhard, Klein, Cornel, Sauer, Horst, Schmid, Reiner, Wieghardt, Jan, Zeller, Marc, Linnhoff-Popien, Claudia

“…Systems are becoming increasingly more adaptive, using techniques like machine learning to enhance their behavior on their own rather than only through human…”
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Synthesizing safe policies under probabilistic constraints with reinforcement learning and Bayesian model checking by Belzner, Lenz, Wirsing, Martin

“…We propose to leverage epistemic uncertainty about constraint satisfaction of a reinforcement learner in safety critical domains. We introduce a framework for…”
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Stochastic Market Games by Schmid, Kyrill, Belzner, Lenz, Müller, Robert, Tochtermann, Johannes, Linnhoff-Popien, Claudia

“…Some of the most relevant future applications of multi-agent systems like autonomous driving or factories as a service display mixed-motive scenarios, where…”
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Trajectory annotation using sequences of spatial perception by Feld, Sebastian, Illium, Steffen, Sedlmeier, Andreas, Belzner, Lenz

“…Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL '18), 2018, p. 329-338 In the near…”
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Genealogical Distance as a Diversity Estimate in Evolutionary Algorithms by Gabor, Thomas, Belzner, Lenz

“…The evolutionary edit distance between two individuals in a population, i.e., the amount of applications of any genetic operator it would take the evolutionary…”
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QoS-Aware Multi-Armed Bandits by Belzner, Lenz, Gabor, Thomas

“…Motivated by runtime verification of QoS requirements in self-adaptive and self-organizing systems that are able to reconfigure their structure and behavior in…”
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Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms by Gabor, Thomas, Belzner, Lenz, Phan, Thomy, Schmid, Kyrill

“…As automatic optimization techniques find their way into industrial applications, the behavior of many complex systems is determined by some form of planner…”
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Inheritance-Based Diversity Measures for Explicit Convergence Control in Evolutionary Algorithms by Gabor, Thomas, Belzner, Lenz, Linnhoff-Popien, Claudia

“…Diversity is an important factor in evolutionary algorithms to prevent premature convergence towards a single local optimum. In order to maintain diversity…”
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Bayesian Surprise in Indoor Environments by Feld, Sebastian, Sedlmeier, Andreas, Friedrich, Markus, Franz, Jan, Belzner, Lenz

“…Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL '19), 2019, p. 129-138 This paper…”
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Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning by Sedlmeier, Andreas, Gabor, Thomas, Phan, Thomy, Belzner, Lenz, Linnhoff-Popien, Claudia

“…Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 2020, ISBN 978-989-758-395-7, pages 522-529…”
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Deep reinforcement learning for semiconductor production scheduling by Waschneck, Bernd, Reichstaller, Andre, Belzner, Lenz, Altenmuller, Thomas, Bauernhansl, Thomas, Knapp, Alexander, Kyek, Andreas

“…Despite producing tremendous success stories by identifying cat videos [1] or solving computer as well as board games [2], [3], the adoption of deep learning…”
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Qualitative Assessment of Recurrent Human Motion by Ebert, Andre, Beck, Michael Till, Mattausch, Andy, Belzner, Lenz, Popien, Claudia Linnhoff

“…Smartphone applications designed to track human motion in combination with wearable sensors, e.g., during physical exercising, raised huge attention recently…”
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Alternaria spore exposure in Bavaria, Germany, measured using artificial intelligence algorithms in a network of BAA500 automatic pollen monitors by González-Alonso, Mónica, Boldeanu, Mihai, Koritnik, Tom, Gonçalves, Jose, Belzner, Lenz, Stemmler, Tom, Gebauer, Robert, Grewling, Łukasz, Tummon, Fiona, Maya-Manzano, Jose M., Ariño, Arturo H., Schmidt-Weber, Carsten, Buters, Jeroen

“…Although Alternaria spores are well-known allergenic fungal spores, automatic bioaerosol recognition systems have not been trained to recognize these particles…”
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On Learning Stable Cooperation in the Iterated Prisoner's Dilemma with Paid Incentives by Sun, Xiyue, Pieroth, Fabian R., Schmid, Kyrill, Wirsing, Martin, Belzner, Lenz

“…An essential step towards collective intelligence in systems comprised of multiple independent and autonomous agents is that individual decision-makers are…”
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A Simulation-Based Architecture for Smart Cyber-Physical Systems by Gabor, Thomas, Belzner, Lenz, Kiermeier, Marie, Beck, Michael Till, Neitz, Alexander

“…In order to accurately predict future states of a smart cyber-physical system, which can change its behavior to a large degree in response to environmental…”
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Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model Checking by Belzner, Lenz, Wirsing, Martin

“…We propose to leverage epistemic uncertainty about constraint satisfaction of a reinforcement learner in safety critical domains. We introduce a framework for…”
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Monte Carlo Action Programming by Belzner, Lenz

“…This paper proposes Monte Carlo Action Programming, a programming language framework for autonomous systems that act in large probabilistic state spaces with…”
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Bayesian Verification under Model Uncertainty by Belzner, Lenz, Gabor, Thomas

“…Machine learning enables systems to build and update domain models based on runtime observations. In this paper, we study statistical model checking and…”
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