Reinforcement learning: Revision history

9 November 2023

• curprev 18:1318:13, 9 November 2023‎ Ai talk contribs‎ 3,751 bytes +3,751‎ Created page with "== Introduction == Reinforcement learning (RL) is an area of machine learning that focuses on how an agent can learn to make decisions by interacting with its environment. The agent's goal is to learn a policy, which is a mapping from states to actions, that maximizes the cumulative reward over time. == Background == The concept of reinforcement learning has roots in psychology, where it was used to explain how organisms learn to make..."