Summary of Wee k13 -- Capsule 1 -- Intro. to Reinforcement Learning

00:00:00 - 00:10:00

Reinforcement learning is a learning algorithm that uses punishment/reward to improve an agent's performance. The exploration expectations trade-off is a challenge that agents face when trying to figure out whether to exploit their current knowledge or explore for additional information.

• 00:00:00 This video introduces reinforcement learning, which is a more general approach to decision making than value iteration and policy iteration. Reinforcement learning allows agents to learn and optimize policies over time in uncertain environments.
• 00:05:00 Reinforcement learning is a method for learning how to perform tasks in an uncertain environment. The method has applications in robotics, recommender systems, and other interactive systems.
• 00:10:00 Reinforcement learning is a learning algorithm that uses punishment/reward to improve an agent's performance. The exploration expectations trade-off is a challenge that agents face when trying to figure out whether to exploit their current knowledge or explore for additional information.