How reinforcement learning works
In short: An agent acts, the environment responds with a new state and a reward, and the agent learns to earn more.
1. A reinforcement learning agent chooses actions in an environment. 2. The agent takes an action in its environment. 3. The environment changes and a new state is fed back to the agent. 4. A reward, a number, tells the agent how good the result of its action was. 5. Over time the agent learns to choose actions that maximise its reward.
Sources: Wikipedia, “Reinforcement learning (Wikipedia)” (CC BY-SA 4.0). Illustrative, not to scale.
Opens the Intellect+ feed with this card first. Swipe up for the next one.
Sources
- Summary by Intellect · source: Reinforcement learning
To cite this card, link to https://intellectplus.co.uk/app/how-reinforcement-learning-works.
How we source, check and correct cards: Editorial standards.
General information, not professional advice. Spotted an error? Flag the card or see corrections and complaints.
Intellect Plus is a visual educational discovery platform for exploring fascinating facts and ideas. Brain Food, Not Brain Rot. What is Intellect Plus?
