Reinforcement Learning

Reinforcement Learning

• Agents interact with an Environment
• Choose from a set of available actions
• Actions impact the environment, which impacts agents via rewards

• Rewards are unknown and must be estimated by the agent

• Solutions represent a Policy by which Agents choose Actions in response to the State
• Agents typically maximize expected rewards over time