Tobias Enders

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Emergency Response

Reinforcement Learning

Top Venues

Publications

Tobias Enders, James Harrison, Maximilian Schiffer
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts. CoRR (2024)
Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer
Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems. L4DC (2024)
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 (2024)
Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. L4DC (2023)
Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. CoRR (2023)
Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. CoRR (2022)
Tobias Enders, Gerhard Satzger, Marcel Fassnacht, Clemens Wolff
Why Should I Share? Exploring Benefits of Open Data for Private Sector Organizations. PACIS (2022)
Tobias Enders, Niklas Kühl, Jannis Walk, Marc Muff
Designing Chemical Emergency Response Systems Based on Open Data. HICSS (2021)
Tobias Enders, Carina Benz, Gerhard Satzger
Untangling the Open Data Value Paradox: How Organizations Benefit from Revealing Data. Wirtschaftsinformatik (2021)
Tobias Enders, Clemens Wolff, Laura Kienzle
Opening Pandora's Box? Guiding Organizations Through Selective Open Data Revealing. PACIS (2021)
Tobias Enders, Clemens Wolff, Gerhard Satzger
Knowing What to Share: Selective Revealing in Open Data. ECIS (2020)
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)
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)
Thomas Pschybilla, Manuela Hofmann, Tobias Enders, Michael Vössing
Priorisierung von Digitalisierungsprojekten entlang der gesamten kundenorientierten Prozesskette im Maschinenbau. HMD Prax. Wirtsch. 56 (6) (2019)
Tobias Enders, Ronny Schüritz, Wiebke Frey
Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services. Wirtschaftsinformatik (2019)
Tobias Enders
Exploring the Value of Data - A Research Agenda. IESS (2018)
Weipeng Zhang, Tobias Enders, Dongsheng Li
GreedyBoost: An Accurate, Efficient and Flexible Ensemble Method for B2B Recommendations. HICSS (2017)