AI engineering glossary · Reinforcement learning
What is world model?
World model: A learned model of how the world evolves in response to actions, often in a compact hidden representation. A learner can imagine futures inside it to plan or to train a rule with far fewer real interactions.
World model: an example
A network predicts the next latent state and reward from the current latent state and chosen action.
Related terms
More Reinforcement learning terms
- A3C
- Action-value function
- Actor-critic
- Agent
- AlphaGo
- AlphaZero
- Baseline (policy gradient)
- Behavioural cloning
Where you learn it
World model is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.