6 citations · 15 across the 8 of their papers we have counts for
4 papers · 1 filter
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
Marc Aurel Vischer, Robert Tjarko Lange, Henning Sprekeler
The lottery ticket hypothesis questions the role of overparameterization in supervised deep learning. But how is the performance of winning lottery tickets affected by the distribu…
Learning Not to Learn: Nature versus Nurture in Silico
Robert Tjarko Lange, Henning Sprekeler
Animals are equipped with a rich innate repertoire of sensory, behavioral and motor skills, which allows them to interact with the world immediately after birth. At the same time,…
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions
Petros Christodoulou, Robert Tjarko Lange, Ali Shafti +1
From a young age humans learn to use grammatical principles to hierarchically combine words into sentences. Action grammars is the parallel idea, that there is an underlying set of…
Semantic RL with Action Grammars: Data-Efficient Learning of Hierarchical Task Abstractions
Robert Tjarko Lange, Aldo Faisal
Hierarchical Reinforcement Learning algorithms have successfully been applied to temporal credit assignment problems with sparse reward signals. However, state-of-the-art algorithm…