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(10) _ eqspertizagavlili ganacxadis gamoqveynebis nomeri. (11) _ patentis nomeri da saxeobis kodi. (21) _ ganacxadis saregistracio nomeri.
Meta Learning for Control - eScholarshipSplitting the trajectory into steps: Markov Hypothesis required. ? Key difference to Direct Policy Search methods. ? Makes it possible to optimize ... Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic ...Meta-Reinforcement Learning (meta-RL) yields the potential to improve the sample efficiency of reinforcement learning algorithms. Through training an agent ... Master Histoire et Philosophie des SciencesAside from focusing on control rather than prediction, our methods differ from TIDBD in the meta-objective optimized by the step-size tuning: they use one step ...
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