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2020 – today
- 2024
[c12]Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer:
Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems. L4DC 2024: 260-272- [i4]Tobias Enders, James Harrison, Maximilian Schiffer:
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts. CoRR abs/2402.09992 (2024) - [i3]Zeno Woywood, Jasper I. Wiltfang, Julius Luy, Tobias Enders, Maximilian Schiffer:
Multi-Agent Soft Actor-Critic with Global Loss for Autonomous Mobility-on-Demand Fleet Control. CoRR abs/2404.06975 (2024) - 2023
- [c11]Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer:
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. L4DC 2023: 1284-1296 - [i2]Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer:
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. CoRR abs/2312.08884 (2023) - 2022
- [c10]Tobias Enders, Gerhard Satzger, Marcel Fassnacht, Clemens Wolff:
Why Should I Share? Exploring Benefits of Open Data for Private Sector Organizations. PACIS 2022: 75 - [i1]Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer:
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. CoRR abs/2212.07313 (2022) - 2021
- [c9]Tobias Enders, Niklas Kühl, Jannis Walk, Marc Muff:
Designing Chemical Emergency Response Systems Based on Open Data. HICSS 2021: 1-10 - [c8]Tobias Enders, Clemens Wolff, Laura Kienzle:
Opening Pandora's Box? Guiding Organizations Through Selective Open Data Revealing. PACIS 2021: 207 - [c7]Tobias Enders, Carina Benz, Gerhard Satzger:
Untangling the Open Data Value Paradox: How Organizations Benefit from Revealing Data. Wirtschaftsinformatik 2021 - 2020
- [c6]Tobias Enders, Carina Benz, Ronny Schüritz, Pamela Lujan:
How to Implement an Open Data Strategy? Analyzing Organizational Change Processes to Enable Value Creation by Revealing Data. ECIS 2020 - [c5]Tobias Enders, Clemens Wolff, Gerhard Satzger:
Knowing What to Share: Selective Revealing in Open Data. ECIS 2020 - [c4]Tobias Enders, Dominik Martin, Garish Gagan Sehgal, Ronny Schüritz:
Igniting the Spark: Overcoming Organizational Change Resistance to Advance Innovation Adoption - The Case of Data-Driven Services. IESS 2020: 217-230 - [p1]Tobias Enders, Ronny Schüritz:
Capturing the Value: How to Charge for Smart Services. Smart Service Management 2020: 75-88
2010 – 2019
- 2019
- [j1]Thomas Pschybilla
, Manuela Hofmann, Tobias Enders, Michael Vössing:
Priorisierung von Digitalisierungsprojekten entlang der gesamten kundenorientierten Prozesskette im Maschinenbau. HMD Prax. Wirtsch. 56(6): 1144-1156 (2019) - [c3]Tobias Enders, Ronny Schüritz, Wiebke Frey:
Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services. Wirtschaftsinformatik 2019: 1724-1738 - 2018
- [c2]Tobias Enders:
Exploring the Value of Data - A Research Agenda. IESS 2018: 274-286 - 2017
- [c1]Weipeng Zhang, Tobias Enders, Dongsheng Li:
GreedyBoost: An Accurate, Efficient and Flexible Ensemble Method for B2B Recommendations. HICSS 2017: 1-8
Coauthor Index
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