Introduction to Reinforcement Learning

Reinforcement Learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment to achieve a goal.

Key Concepts

  • Agent: The learner or decision-maker.
  • Environment: The world the agent interacts with.
  • Reward: Feedback signal the agent receives.
  • Policy: The strategy the agent follows.
  • Value Function: Estimates future reward.

RL Workflow

The agent observes the environment, takes an action based on a policy, receives a reward, and updates the policy accordingly.