24 citations · 24 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent
Björn Hoppmann, Christoph Scholz
Humans are highly effective at utilizing prior knowledge to adapt to novel tasks, a capability that standard machine learning models struggle to replicate due to their reliance on…
cs.LG2021★ 24 cited
A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator
Malte Lehna, Björn Hoppmann, René Heinrich +1
With the rising extension of renewable energies, the intraday electricity markets have recorded a growing popularity amongst traders as well as electric utilities to cope with the…