Sebastian Trimpe
27 papers · 2015–2025 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Sebastian Trimpe?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Friedrich Solowjow, Alexander von Rohr, Christian Fiedler
11 papers
· 2019–2025
· ICML, L4DC, NeurIPS
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On Rollouts in Model-Based Reinforcement Learning
ICLR 2025
On Statistical Learning Theory for Distributional Inputs
ICML 2024
On the Consistency of Kernel Methods with Dependent Observations
ICML 2024
Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption
ICML 2024
On kernel-based statistical learning theory in the mean field limit
NeurIPS 2023
Local policy search with Bayesian optimization
NeurIPS 2021
On exploration requirements for learning safety constraints
L4DC 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
AAAI 2021
Probabilistic robust linear quadratic regulators with Gaussian processes
L4DC 2021
Actively Learning Gaussian Process Dynamics
L4DC 2020
A Learnable Safety Measure
CoRL 2019
8 papers whose co-authors appear nowhere else under this name
Distributed Event-Based Learning via ADMM
ICML 2025
Parameter-adaptive approximate MPC: Tuning neural-network controllers without retraining
L4DC 2024
Pointwise-in-time diagnostics for reinforcement learning during training and runtime
L4DC 2024
Tracking object positions in reinforcement learning: A metric for keypoint detection
L4DC 2024
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control
L4DC 2023
Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors
CoRL 2021
Learning Constrained Dynamics with Gauss’ Principle adhering Gaussian Processes
L4DC 2020
Learning of Sub-optimal Gait Controllers for Magnetic Walking Soft Millirobots
RSS 2020