Reinforcement studying is a sort 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 decrease 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 discipline, nevertheless it has already had a significant influence on many various areas of pc science and synthetic intelligence.
