Tobias Enders

Former PhD Student

Short Biography

Tobias is a Ph.D. student at the Professorship of Business Analytics & Intelligent Systems at TUM School of Management, and associated with the DFG Research Training Group AdONE. He works as a consultant at McKinsey & Company. Tobias holds a Master of Science in Quantitative Finance from ETH and University of Zurich as well as a Bachelor of Science in Physics from ETH Zurich. His research focuses on the application of deep reinforcement learning to operations research, in particular transportation problems.

Besides academics, Tobias enjoys traveling, doing sports and reading.

Research Interests

Control of autonomous mobility on demand systems with deep reinforcement learning
Hybrid and multi-agent deep reinforcement learning
Robustness of deep reinforcement learning in operations research

Publications

Enders, T.; Harrison, J.; Pavone, M.; Schiffer, M.: Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts. 2024, mehr…
Enders, T.; Harrison, J.; Pavone, M.; Schiffer, M.: Hybrid Multi-Agent Deep Reinforcement Learning for Autonomous Mobility-on-Demand Systems. (Vortrag / TSL Conference 2023, Chicago, Illinois, USA) 2023 mehr…
Hoppe, H.; Enders, T.; Cappart, Q.; Schiffer, M.: Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. 2023, mehr…
Enders, T.; Harrison, J.; Pavone, M.; Schiffer, M.: Hybrid Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. 5th Annual Conference on Learning for Dynamics and Control,, 2023Philadelphia, USA mehr…
Enders, T.; Harrison, J.; Pavone, M.; Schiffer, M.: Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. 2022, mehr…