Matthias Schultheis

PhD student, TU Darmstadt

Joined

May 2021

Names

Matthias Schultheis (Preferred)

Emails

****@tu-darmstadt.de (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

PhD student

TU Darmstadt (tu-darmstadt.de)

2019 – Present

Advisors, Relations & Conflicts

PhD Advisor

Heinz Koeppl

2019 – Present

PhD Advisor

Constantin Rothkopf

2019 – Present

Expertise

Reinforcement Learning

Present

Bayesian modelling

Present

Inverse Reinforcement Learning

Present

Preference elicitation

Present

Cognitive Science

Present

Neuroscience

Present

Publications

What do you know? Bayesian knowledge inference for navigating agents
Matthias Schultheis, Jana-Sophie Schönfeld, Constantin A. Rothkopf, Heinz Koeppl
- NeurIPS 2025 poster
- Readers: Everyone
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs
Dominik Straub, Matthias Schultheis, Heinz Koeppl, Constantin A. Rothkopf
- NeurIPS 2023 poster
- Readers: Everyone
Probabilistic inverse optimal control with local linearization for non-linear partially observable systems
Dominik Straub, Matthias Schultheis, Heinz Koeppl, Constantin A. Rothkopf
- 2023 (modified: 24 Apr 2023)
- CoRR 2023
- Readers: Everyone
Reinforcement Learning with Non-Exponential Discounting
Matthias Schultheis, Constantin A. Rothkopf, Heinz Koeppl
- Published: 31 Oct 2022, Last Modified: 14 Dec 2022
- NeurIPS 2022 Accept
- Readers: Everyone
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Matthias Schultheis, Dominik Straub, Constantin A. Rothkopf
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
POMDPs in Continuous Time and Discrete Spaces
Bastian Alt, Matthias Schultheis, Heinz Koeppl
- 2020 (modified: 24 Apr 2023)
- NeurIPS 2020
- Readers: Everyone
Receding Horizon Curiosity
Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters
- 2019 (modified: 24 Apr 2023)
- CoRL 2019
- Readers: Everyone

Matthias Schultheis

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

What do you know? Bayesian knowledge inference for navigating agents

Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs

Probabilistic inverse optimal control with local linearization for non-linear partially observable systems

Reinforcement Learning with Non-Exponential Discounting

Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System

POMDPs in Continuous Time and Discrete Spaces

Receding Horizon Curiosity

Co-Authors