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learning-systems

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perepepeu / design-learning-agents

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A structured skill for AI coding agents to design, review and diagnose robust machine learning systems — from baseline to production. Covers supervised learning, imitation, offline RL, online RL, self-play, and hybrid strategies. Includes reward design, curriculum, experimental governance, reproducibility, observability, safety, deployment, and rol

machine-learning reinforcement-learning deployment skill methodology observability imitation-learning autonomous-agents ai-safety ai-agents reward-design openai-codex ml-workflow learning-systems experiment-governance
  • Updated Jun 19, 2026
  • Python

peymanpro / learning-native-adaptive-software-framework

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Learning-Native Adaptive Software Framework (LNASF) — a technical architecture for reusable software components that learn from runtime experience and adapt while retaining deterministic fallback behavior.

machine-learning software-architecture online-learning software-framework self-adaptive-systems adaptive-systems runtime-adaptation adaptive-softwares learning-systems
  • Updated Aug 28, 2026
  • TeX

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