curriculum-learning

Orchestrate multi-stage curriculum training for robotic navigation tasks.

Updated Feb 6, 2026
One-click install
npx skills add https://github.com/mzqef/MotrixLab --skill curriculum-learning
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: curriculum-learning
Source: https://github.com/mzqef/MotrixLab/tree/main/.github/skills/curriculum-learning
Command: npx skills add https://github.com/mzqef/MotrixLab --skill curriculum-learning

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill orchestrates multi-stage curriculum-based training for robotic navigation tasks, enabling progressive skill acquisition and efficient transfer of knowledge across stages.

Core Features & Use Cases

  • Multi-stage curriculum: Define stages with environment, rewards, promotion criteria, and warm-start transfers.
  • Checkpoint transfer: Move best checkpoints between stages to accelerate learning.
  • Promotion & warm-start configuration: Customize thresholds and learning rate multipliers per stage.
  • Use Case: Design a curriculum that starts with flat-ground navigation and progressively increases task difficulty, automatically transferring knowledge between stages.
  • Environment flexibility: Supports mapping between environments and starter kits to enable structured experimentation.

Quick Start

Review the Curriculum Plan Schema and Stage Configuration Reference, then run the automation script to generate initial schedules or start training with the first stage.

Frequently Asked Questions about curriculum-learning

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure a multi-stage curriculum for reinforcement learning robot navigation?

Multi-stage curriculum learning for robot navigation is configured by defining stages with specific environments, rewards, promotion criteria, and warm-start transfers to guide progressive skill acquisition from simple to complex challenges.

What is checkpoint transfer in progressive curriculum training?

Checkpoint transfer in curriculum training moves the best checkpoints between stages to accelerate learning and warm-start subsequent phases, ensuring knowledge acquired in simpler environments transfers efficiently to harder tasks.

Can I customize promotion criteria and reward overrides per stage in curriculum learning?

Yes, curriculum learning supports per-stage configuration of promotion thresholds, reward overrides, and learning rate multipliers, allowing structured experimentation and customized progression through increasingly complex robotic navigation tasks.

Does curriculum learning work with different environments and starter kits for robot navigation?

Curriculum learning supports environment flexibility by mapping between environments and starter kits, enabling structured experimentation across progressively complex robotic navigation scenarios and seamless stage transitions.

What's the best way to start progressive skill acquisition from flat-ground navigation to complex tasks?

The best way to start progressive skill acquisition is to review the Curriculum Plan Schema and Stage Configuration Reference, then run the automation script to generate initial schedules or begin training with the first stage.