A three-autoencoder latent space plus PoWER reinforcement learning is claimed to speed up robotic grasp adaptation by 35.8% in simulation, without adequate experimental validation.
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Grammarization-Based Grasping with Deep Multi-Autoencoder Latent Space Exploration by Reinforcement Learning Agent
A three-autoencoder latent space plus PoWER reinforcement learning is claimed to speed up robotic grasp adaptation by 35.8% in simulation, without adequate experimental validation.