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The proposed method accelerates training and enables stable policies where matched raw-action PPO remains near failure, with successful sim-to-real transfer in in-hand and arm-hand tasks.
Training on more diverse synthetic spacecraft data dramatically improves generalization to novel satellite designs, but current methods still struggle to identify small, critical components like thrusters.
