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Found 2 papers, 2 papers with code
Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space
We demonstrate the adaptability of our agents to novel scenarios and assembly sequences while emphasizing the potential of leveraging advanced simulation techniques for robot learning in space.
Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning
Domain randomization improves the generalization of learned policies to novel scenes with previously unseen objects and different illumination conditions.
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