Search Results for author: Malte Schilling

Found 11 papers, 6 papers with code

A Graph-based U-Net Model for Predicting Traffic in unseen Cities

1 code implementation11 Feb 2022 Luca Hermes, Barbara Hammer, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling

Accurate traffic prediction is a key ingredient to enable traffic management like rerouting cars to reduce road congestion or regulating traffic via dynamic speed limits to maintain a steady flow.

Management Traffic Prediction

Evaluating Robustness of Counterfactual Explanations

1 code implementation3 Mar 2021 André Artelt, Valerie Vaquet, Riza Velioglu, Fabian Hinder, Johannes Brinkrolf, Malte Schilling, Barbara Hammer

Counterfactual explanations explain a behavior to the user by proposing actions -- as changes to the input -- that would cause a different (specified) behavior of the system.

Decision Making Fairness

Guiding Representation Learning in Deep Generative Models with Policy Gradients

no code implementations1 Jan 2021 Luca Lach, Timo Korthals, Malte Schilling, Helge Ritter

Therefore, this paper investigates the issues of joint training approaches and explores incorporation of policy gradients from RL into the VAE's latent space to find a task-specific latent space representation.

Representation Learning

Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot

1 code implementation21 May 2020 Malte Schilling, Kai Konen, Frank W. Ohl, Timo Korthals

Locomotion is a prime example for adaptive behavior in animals and biological control principles have inspired control architectures for legged robots.

Continuous Control Legged Robots +1

A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing

no code implementations1 Nov 2019 Timo Korthals, Malte Schilling, Jürgen Leitner

This contribution comprises the interplay between a multi-modal variational autoencoder and an environment to a perceived environment, on which an agent can act.

From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning -- Insights from Biological Systems on Adaptive Flexibility

no code implementations13 Aug 2019 Malte Schilling, Helge Ritter, Frank W. Ohl

Recent developments in machine-learning algorithms have led to impressive performance increases in many traditional application scenarios of artificial intelligence research.

BIG-bench Machine Learning Incremental Learning +1

Setup of a Recurrent Neural Network as a Body Model for Solving Inverse and Forward Kinematics as well as Dynamics for a Redundant Manipulator

no code implementations12 Apr 2019 Malte Schilling

An internal model of the own body can be assumed a fundamental and evolutionary-early representation as it is present throughout the animal kingdom.

Modularization of End-to-End Learning: Case Study in Arcade Games

no code implementations27 Jan 2019 Andrew Melnik, Sascha Fleer, Malte Schilling, Helge Ritter

Complex environments and tasks pose a difficult problem for holistic end-to-end learning approaches.

Atari Games

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