Richard Meyes

Continuous Motion Planning for Industrial Robots based on Direct Sensory Input

Tobias Meisen, Richard Meyes, Christian Scheiderer, 2018 .

Interdisciplinary Data Driven Production Process Analysis for the Internet of Production

Gerhard Lakemeyer, Tobias Meisen, Sabina Jeschke, 2018 .

How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents pdf

Richard Meyes, Tobias Meisen, Moritz Schneider, 2020, ArXiv.

Motion Planning for Industrial Robots using Reinforcement Learning

Christian Brecher, Tobias Meisen, Sabina Jeschke, 2017 .

Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems

Richard Meyes, Tobias Meisen, Jupiter Bakakeu, 2019, 2019 Second International Conference on Artificial Intelligence for Industries (AI4I).

Selbstlernende adaptive Robotersteuerung

Tobias Meisen, Thomas Thiele, Richard Meyes, 2018 .

A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data

Tobias Meisen, Richard Meyes, Johanna Donauer, 2019 .

Ablation of a Robot's Brain: Neural Networks Under a Knife pdf

Tobias Meisen, Richard Meyes, Peter Lillian, 2018, ArXiv.

Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations pdf

Richard Meyes, Tobias Meisen, Constantin Waubert de Puiseau, 2020, ArXiv.

Ablation Studies in Artificial Neural Networks pdf

Tobias Meisen, Richard Meyes, Constantin Waubert de Puiseau, 2019, ArXiv.

Discovering Heuristics And Metaheuristics For Job Shop Scheduling From Scratch Via Deep Reinforcement Learning

Tobias Meisen, Richard Meyes, Tilo van Ekeris, 2021 .