Reinforcement studying is a kind of machine studying that enables an agent to learn to behave in an atmosphere by interacting with it and receiving rewards or punishments for its actions. The agent learns to take actions that maximize its rewards and reduce its punishments, and it does this by updating its coverage, which is a operate that maps states of the atmosphere to actions.
Reinforcement studying is a robust instrument that has been used to unravel all kinds of issues, together with enjoying video games, controlling robots, and managing monetary portfolios. It’s a comparatively new area, however it has already had a serious impression on many alternative areas of pc science and synthetic intelligence.
