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Sebastian Trimpe — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Sebastian Trimpe
14
papers ·
105
citations ·
24
h-index
RWTH Aachen University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Deep Reinforcement Learning for Event-Triggered Control
2018 · 74 citations
Local policy search with Bayesian optimization
2021 · 16 citations
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption
2024 · 2 citations
CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing
2025 · 1 citations
On Rollouts in Model-Based Reinforcement Learning
2025 · 1 citations
Trajectory-Based Off-Policy Deep Reinforcement Learning
2019 · 1 citations
Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty
2026
Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers
2017
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization
2019
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning
2022
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)
2023
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
2024
Top co-authors
Bernd Frauenknecht
· 5
Emma Cramer
· 3
Friedrich Solowjow
· 3
Andreas Doerr
· 2
Artur Eisele
· 2
Devdutt Subhasish
· 2
Dominik Baumann
· 2
Alexander von Rohr
· 1
Alonso Marco
· 1
Andreas Krause
· 1
Christian Daniel
· 1
Duy Nguyen-Tuong
· 1
Topics
Model-Based RL
Exploration
Value-Based
Safe RL
Policy Gradient
Offline RL
Multi-Agent
Meta-RL