About this document
Reinforcement Learning Overview and Examples by attridhruv9 is a document available to read on EtoBox.
Reinforcement learning involves an agent taking actions in an environment to maximize rewards. It differs from supervised learning by learning from trial-and-error interactions rather than example inputs. The agent learns to achieve a goal like reaching a reward or avoiding penalties by trying actions and receiving feedback about the results of those actions.
- Author
- attridhruv9
- Language
- EN