Equation 1 · Part 7 · Comparing the Main Approaches to Robotics and Embodied AI
addition
addition
What this part means
Add the term after the plus sign to the term or group before it.
Its job in the formula
Add the term after the plus sign to the term or group before it.
Full expression→addition→Article meaning
The passage around this formula
A model-free update never references a transition model. A canonical form, temporal-difference learning, updates a value estimate purely from sampled transitions: . Nothing in this update requires knowing or estimating p(s' s, a) ; it only requires having experienced (s, a, r, s') . A model-based approach instead fits an explicit dynamics model — a “world model” — and plans against it directly:
Learn the underlying idea
Addition combines quantities; subtraction measures the signed difference between them. Parentheses show what is combined before the rest of the expression is evaluated.
Open the illustrated addition and subtraction in an equation guide →
Sources cited in the article section
- [6] Model-Based Reinforcement Learning: A Survey ↗
- [10] Dynamic Locomotion in the MIT Cheetah 3 Through Convex Model-Predictive Control ↗
- [9] Mastering Diverse Domains through World Models ↗
- [3] Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning ↗
These citations provide research context; check each source for the exact claim it supports.