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Found 2 papers, 1 papers with code
Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control
RL is an active branch of the machine learning research field, where control of a system is learned through interaction with the environment.
Model-based Reinforcement Learning
reinforcement-learning
+1
Co-Imitation: Learning Design and Behaviour by Imitation
To this end we propose a co-imitation methodology for adapting behaviour and morphology by matching state distributions of the demonstrator.
