Tobias Enders

According to our database, Tobias Enders authored at least 18 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multi-agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control.

Zeno Woywood, Jasper I. Wiltfang, Julius Luy, Tobias Enders, Maximilian Schiffer

Proceedings of the Learning and Intelligent Optimization - 19th International Conference, 2025

2024

Reinforcement Learning for Autonomous Mobility on Demand Systems: Scalability via Multi-Agent Learning and Robustness via Risk-Sensitivity.

Tobias Enders

PhD thesis, 2024

Multi-Agent Soft Actor-Critic with Global Loss for Autonomous Mobility-on-Demand Fleet Control.

Zeno Woywood, Jasper I. Wiltfang, Julius Luy, Tobias Enders, Maximilian Schiffer

CoRR, 2024

Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts.

Tobias Enders, James Harrison, Maximilian Schiffer

CoRR, 2024

Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems.

Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems.

Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

Why Should I Share? Exploring Benefits of Open Data for Private Sector Organizations.

Tobias Enders, Gerhard Satzger, Marcel Fassnacht, Clemens Wolff

Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022

2021

Untangling the Open Data Value Paradox: How Organizations Benefit from Revealing Data.

Tobias Enders, Carina Benz, Gerhard Satzger

Proceedings of the Innovation durch Informationssysteme, 2021

Opening Pandora's Box? Guiding Organizations Through Selective Open Data Revealing.

Tobias Enders, Clemens Wolff, Laura Kienzle

Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

Designing Chemical Emergency Response Systems Based on Open Data.

Tobias Enders, Niklas Kühl, Jannis Walk, Marc Muff

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020

Igniting the Spark: Overcoming Organizational Change Resistance to Advance Innovation Adoption - The Case of Data-Driven Services.

Tobias Enders, Dominik Martin, Garish Gagan Sehgal, Ronny Schüritz

Proceedings of the Exploring Service Science - 10th International Conference, 2020

Knowing What to Share: Selective Revealing in Open Data.

Tobias Enders, Clemens Wolff, Gerhard Satzger

Proceedings of the 28th European Conference on Information Systems, 2020

How to Implement an Open Data Strategy? Analyzing Organizational Change Processes to Enable Value Creation by Revealing Data.

Tobias Enders, Carina Benz, Ronny Schüritz, Pamela Lujan

Proceedings of the 28th European Conference on Information Systems, 2020

Capturing the Value: How to Charge for Smart Services.

Tobias Enders, Ronny Schüritz

Proceedings of the Smart Service Management - Design Guidelines and Best Practices, 2020

2019

Priorisierung von Digitalisierungsprojekten entlang der gesamten kundenorientierten Prozesskette im Maschinenbau.

Thomas Pschybilla, Manuela Hofmann, Tobias Enders, Michael Vössing

HMD Prax. Wirtsch., 2019

Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services.

Tobias Enders, Ronny Schüritz, Wiebke Frey

Proceedings of the Human Practice. Digital Ecologies. Our Future. 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), 2019

2018

Exploring the Value of Data - A Research Agenda.

Tobias Enders

Proceedings of the Exploring Service Science - 9th International Conference, 2018

2017

GreedyBoost: An Accurate, Efficient and Flexible Ensemble Method for B2B Recommendations.

Weipeng Zhang, Tobias Enders, Dongsheng Li

Proceedings of the 50th Hawaii International Conference on System Sciences, 2017