feat(ocl): add Synaptic Intelligence (SI) strategy - #403
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August 24, 2026 00:47
Synaptic Intelligence (SI) is a regularisation-based continual learning strategy that accumulates per-parameter importance online from optimisation trajectories, then penalises changes to parameters that were important for previous tasks (Zenke et al., 2017). Ported from the `blurry-ocl` draft branch and adapted to the current `capymoa.ocl` module layout. Also fixes the `update_trajectory` parameter names, which had drifted from their actual pre/post-step meaning during earlier draft cleanup, and adds `reset_optimizer_state`, a small utility SI needs to clear optimiser momentum at task boundaries. Assisted-by: claude-code:claude-sonnet-5
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blurry-ocldraft branch, adapting it to the currentcapymoa.oclmodule layout (capymoa.ocl.events,capymoa.ocl.util._buffer_list).reset_optimizer_state, a small utility SI uses to clear optimiser momentum at task boundaries.SIincapymoa.ocl.strategy.__init__.SIcases totests/ocl/test_strategy.py, extendingnew_constructorwith an optionaloptimiser_type(defaults toSGD, backwards compatible) since SI's reference hyperparameters use Adam.Closes: Synaptic Intelligence