learning-systems

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perepepeu / design-learning-agents

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

calin-tesu / Momentum

Star

An agentic learning companion that helps developers resume progress after procrastination by selecting a single, minimal next action from a bounded task space. Focused on re-entry, not productivity, with deterministic rules and explainable AI decisions evaluated via Comet Opik.

human-in-the-loop hackathon-project explainable-ai agentic-ai learning-systems behavioral-design