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Action Space Normalization
Scaling robot action values to a standard range (typically [-1, 1]) before training a policy. Normalization ensures that all action dimensions contribute equally to the loss function and prevents large-valued dimensions from dominating gradient updates. Denormalization converts policy outputs back to physical units (radians, meters/s) at execution time.