Search Results for author: Daniel Höller

Found 2 papers, 0 papers with code

Generating Instructions at Different Levels of Abstraction

no code implementations COLING 2020 Arne Köhn, Julia Wichlacz, Álvaro Torralba, Daniel Höller, Jörg Hoffmann, Alexander Koller

When generating technical instructions, it is often convenient to describe complex objects in the world at different levels of abstraction.

Object

Tracking the Race Between Deep Reinforcement Learning and Imitation Learning -- Extended Version

no code implementations3 Aug 2020 Timo P. Gros, Daniel Höller, Jörg Hoffmann, Verena Wolf

Our evaluations show that for this sequential decision making problem, deep reinforcement learning performs best in many aspects even though for imitation learning optimal decisions are considered.

Imitation Learning reinforcement-learning +1

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