Curriculum for Reinforcement Learning

📰 Lilian Weng's Blog

A curriculum can help reinforcement learning models learn complicated tasks by breaking down complex knowledge into a sequence of learning steps

intermediate Published 29 Jan 2020

Action Steps

Define the task and identify the key components
Break down the task into smaller sub-tasks of increasing difficulty
Design a curriculum that progressively introduces new concepts and challenges
Implement and test the curriculum using reinforcement learning algorithms

Who Needs to Know This

Machine learning engineers and researchers can benefit from this concept to improve the efficiency of their reinforcement learning models, and software engineers can implement the curriculum design in their code

Key Insight

💡 Breaking down complex tasks into smaller sub-tasks can improve the efficiency of reinforcement learning models