CPU-friendly experience-based reasoning framework combining meta-learning (MAML), state space models (SSM), and memory buffers for fast few-shot adaptation. Pure NumPy implementation for edge devices and low-compute environments.
reinforcement-learning ai numpy ssm maml adaptation meta-learning state-space-model continual-learning experience-replay few-shot-learning memory-buffer test-time-adaptation cpu-only policy-orchestration low-compute experience-buffer
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Updated
Oct 23, 2025 - Python