Matthias Schultheis
5 papers · 2019–2023 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🐣
Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
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Research topics
Keywords
inverse optimal control
(2)
bayesian inference
(1)
deep learning
(1)
inverse reinforcement learning
(1)
value function
(1)
system identification
(1)
partially observable markov decision process
(1)
trajectory optimization
(1)
belief space
(1)
bayesian experimental design
(1)
continuous time
(1)
information gain
(1)
optimal feedback control
(1)
hamilton-jacobi-bellman equation
(1)
partially observable system
(1)
sample-efficient exploration
(1)
hyperbolic discounting
(1)
signal-dependent noise
(1)
partial observable markov decision process
(1)
perceptual uncertainty
(1)
Papers
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs
NeurIPS 2023
Reinforcement Learning with Non-Exponential Discounting
NeurIPS 2022
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
NeurIPS 2021
POMDPs in Continuous Time and Discrete Spaces
NeurIPS 2020
Receding Horizon Curiosity
CoRL 2019