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Add no_std MLP inference for learned policies #83

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@kmolan

Add a small dense multi-layer-perceptron forward pass (linear layers plus activations) for evaluating exported policy weights on embedded targets. Inference only, no training. Planned after 1.0.

Done when: a sample network matches a reference forward pass.

Depends on #62

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    enhancementNew feature or requestno_stdKeeps the default no_std, no-alloc coreperformanceLatency / throughput focusroboticsKinematics, dynamics, robot models

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