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Michael Girstl: Safe Reinforcement learning using Successor representations

Posted by By mugga May 4, 2025Posted inFinished, Project, Student-Projects, Uncategorized
Reinforcement Learning (RL) has achieved remarkable success in various domains, from game playing to robotics. However, in safety-critical applications such as autonomous driving or medical treatment, traditional RL algorithms may…
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Alexander Mattick: Beam Tracking as a Time-Varying Reinforcement Learning Problem

Posted by By mugga November 1, 2022Posted inFinished, Project, Student-Projects, Uncategorized
The envisioned transition to 5G and 6G technologies have started to transform the properties of established communication networks. In the core of this transformation lies the capability of Base Stations…
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Abhinav Singh: Safe Imitation Learning for Beam Tracking

Posted by By mugga November 1, 2022Posted inFinished, Project, Student-Projects, Uncategorized
The envisioned transition to 5G and 6G technologies have started to transform the properties of established communication networks. In the core of this transformation lies the capability of Base Stations…
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Hyeyoung Park: Interpretable Decision Tree Extraction using Imitation Learning and Locally Adaptive Optimization (LMU München, 2022)

Posted by By mugga May 2, 2022Posted inFinished, Project, Student-Projects, Uncategorized
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Hyeyoung Park: Towards Interpretable (and Robust) Reinforcement Learning Policies through Local Lipschitzness and Randomization

Posted by By mugga May 2, 2022Posted inFinished, Project, Student-Projects
Reinforcement Learning is broadly applicable for diverse tasks across many domains. On many problems, it has achieved superhuman performance [5]. However, the black-box neural networks used by modern RL algorithms…
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Meta Reinforcement Learning for Optimization of Electric Circuit Parameters

Posted by By mugga May 2, 2022Posted inMaster Thesis, Open, Project, Student-Projects
The design and optimization of electric circuits is currently still an experience driven approach. Especially in the case of resonant systems, the strong non-linear system behavior requires a lot of…
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Multi-Agent Reinforcement Learning for the Coordination of Base Stations in 6G Networks

Posted by By mugga May 2, 2022Posted inMaster Thesis, Open, Project, Project-Type, Student-Projects
6G technology is promising to fundamentally change how consumers and businesses communicate, based on its envisioned speed and flexibility. This flexibility stems from the complex interplay between large-scale ecosystems of…
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