27 citations · 46 across the 11 of their papers we have counts for
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cs.LG2023★ 27 cited
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents
Malte Lehna, Jan Viebahn, Christoph Scholz +2
The operation of electricity grids has become increasingly complex due to the current upheaval and the increase in renewable energy production. As a consequence, active grid manage…
cs.LG2022★ 1 cited
Active Reinforcement Learning -- A Roadmap Towards Curious Classifier Systems for Self-Adaptation
Simon Reichhuber, Sven Tomforde
Intelligent systems have the ability to improve their behaviour over time taking observations, experiences or explicit feedback into account. Traditional approaches separate the le…
cs.LG2019
Collaborative Interactive Learning -- A clarification of terms and a differentiation from other research fields
Tom Hanika, Marek Herde, Jochen Kuhn +8
The field of collaborative interactive learning (CIL) aims at developing and investigating the technological foundations for a new generation of smart systems that support humans i…