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Training reinforcement learning directly on real robots is extremely costly, since every fall may damage hardware and sampling efficiency is low, so simulation environments (such as Isaac Sim, MuJoCo and Gazebo) provide low-cost, parallelizable, resettable training grounds.
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11/1/2026
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