2 papers
cs.RO2022
Robotic Control Using Model Based Meta Adaption
Karam Daaboul, Joel Ikels, Marius Zöllner
In machine learning, meta-learning methods aim for fast adaptability to unknown tasks using prior knowledge. Model-based meta-reinforcement learning combines reinforcement learning…
cs.LG2021
Safe Continuous Control with Constrained Model-Based Policy Optimization
Moritz A. Zanger, Karam Daaboul, J. Marius Zöllner
The applicability of reinforcement learning (RL) algorithms in real-world domains often requires adherence to safety constraints, a need difficult to address given the asymptotic n…