Constantin Waubert de Puiseau

According to our database, Constantin Waubert de Puiseau authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

<i>schlably</i>: A Python framework for deep reinforcement learning based scheduling experiments.

Constantin Waubert de Puiseau, Jannik Peters, Christian Dörpelkus, Hasan Tercan, Tobias Meisen

SoftwareX, May, 2023

Curriculum Learning in Job Shop Scheduling using Reinforcement Learning.

Constantin Waubert de Puiseau, Hasan Tercan, Tobias Meisen

CoRR, 2023

schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments.

Constantin Waubert de Puiseau, Jannik Peters, Christian Dörpelkus, Tobias Meisen

CoRR, 2023

2022

On reliability of reinforcement learning based production scheduling systems: a comparative survey.

Constantin Waubert de Puiseau, Richard Meyes, Tobias Meisen

J. Intell. Manuf., 2022

2020

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

Richard Meyes, Constantin Waubert de Puiseau, Andres Posada-Moreno, Tobias Meisen

CoRR, 2020

2019

Ablation Studies in Artificial Neural Networks.

Richard Meyes, Melanie Lu, Constantin Waubert de Puiseau, Tobias Meisen

CoRR, 2019