Reinforcement Learning
Reinforcement Learning (RL) #
RL is learning by trial and error.
Reinforcement Learning (RL) is a type of machine learning where an autonomous agent learns to make decisions by interacting with an environment.
Instead of being told the correct answer, the agent:
- takes actions
- observes outcomes
- receives rewards or penalties
- gradually learns a strategy that maximises long-term reward
Reinforcement Learning teaches an agent how to act, not what to predict.