93 citations · 150 across the 20 of their papers we have counts for
4 papers · 1 filter
Intelligent problem-solving as integrated hierarchical reinforcement learning
Manfred Eppe, Christian Gumbsch, Matthias Kerzel +3
According to cognitive psychology and related disciplines, the development of complex problem-solving behaviour in biological agents depends on hierarchical cognitive mechanisms. H…
Inference of Affordances and Active Motor Control in Simulated Agents
Fedor Scholz, Christian Gumbsch, Sebastian Otte +1
Flexible, goal-directed behavior is a fundamental aspect of human life. Based on the free energy minimization principle, the theory of active inference formalizes the generation of…
Hierarchical principles of embodied reinforcement learning: A review
Manfred Eppe, Christian Gumbsch, Matthias Kerzel +3
Cognitive Psychology and related disciplines have identified several critical mechanisms that enable intelligent biological agents to learn to solve complex problems. There exists…
Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives
Christian Gumbsch, Martin V. Butz, Georg Martius
Voluntary behavior of humans appears to be composed of small, elementary building blocks or behavioral primitives. While this modular organization seems crucial for the learning of…