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аналитика - Symmetry-aware Reinforcement Learning for Robotic Assembly
Enhancing Robotic Assembly with Symmetry-aware Reinforcement Learning
The author proposes leveraging domain symmetry through data augmentation and auxiliary losses to enhance a recurrent SAC agent for solving symmetric POMDPs efficiently.
Enhancing Robotic Assembly with Symmetry-aware Reinforcement Learning
The author proposes a method to improve robotic assembly tasks by integrating data augmentation and auxiliary losses in a recurrent SAC agent, focusing on solving symmetric POMDPs efficiently.
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