Pre-training of Deep RL Agents for Improved Learning under Domain Randomization

Visual domain randomization in simulated environments is a widely used method to transfer policies trained in simulation to real robots. However, domain randomization and augmentation hamper the training of a policy. As reinforcement learning struggles with a noisy training signal, this additional n...

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Hauptverfasser:	Amiranashvili, Artemij, Argus, Max, Hermann, Lukas, Burgard, Wolfram, Brox, Thomas
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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