-
A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing
This contribution comprises the interplay between a multi-modal variatio...
read it
-
From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning -- Insights from Biological Systems on Adaptive Flexibility
Recent developments in machine-learning algorithms have led to impressiv...
read it
-
Setup of a Recurrent Neural Network as a Body Model for Solving Inverse and Forward Kinematics as well as Dynamics for a Redundant Manipulator
An internal model of the own body can be assumed a fundamental and evolu...
read it
-
Modularization of End-to-End Learning: Case Study in Arcade Games
Complex environments and tasks pose a difficult problem for holistic end...
read it
-
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
In the NIPS 2017 Learning to Run challenge, participants were tasked wit...
read it

Malte Schilling
is this you? claim profile