8 citations · 14 across the 21 of their papers we have counts for
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cs.RO2021
Entropy Regularised Deterministic Optimal Control: From Path Integral Solution to Sample-Based Trajectory Optimisation
Tom Lefebvre, Guillaume Crevecoeur
Sample-based trajectory optimisers are a promising tool for the control of robotics with non-differentiable dynamics and cost functions. Contemporary approaches derive from a restr…
eess.SY2021
Adaptive control of a mechatronic system using constrained residual reinforcement learning
Tom Staessens, Tom Lefebvre, Guillaume Crevecoeur
We propose a simple, practical and intuitive approach to improve the performance of a conventional controller in uncertain environments using deep reinforcement learning while main…
math.OC2021
Risk Sensitive Path Integral Control for Infinite Horizon Problem Formulations
Tom Lefebvre, Guillaume Crevecoeur
Path Integral Control methods were developed for stochastic optimal control covering a wide class of finite horizon formulations with control affine nonlinear dynamics. Characteris…