Felix Berkenkamp

关于

暂无简介。

研究焦点

主要成就

代表论文

1. 1
   Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization

   111 次引用 · 2017
2. 2
   Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics

   80 次引用 · 2021
3. 3
   The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems

   69 次引用 · 2018
4. 4
   Safe Exploration in Finite Markov Decision Processes with Gaussian Processes

   68 次引用 · 2016
5. 5
   Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning

   55 次引用 · 2020
6. 6
   Safe Exploration in Finite Markov Decision Processes with Gaussian Processes

   53 次引用 · 2016
7. 7
   Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning

   48 次引用 · 2020
8. 8
   Bayesian Optimization with Safety Constraints: Safe and Automatic\n Parameter Tuning in Robotics

   26 次引用 · 2016
9. 9
   Safe Exploration in Reinforcement Learning: Theory and Applications in Robotics

   20 次引用 · 2019

主要合作者