Reinforcement Learning

Learn the core principles of reinforcement machine learning.

Reinforcement learning is a type of ML that involves an agent interacting with an environment and learning to take actions that maximize a reward signal. The process involves the agent taking actions in the environment, receiving feedback in the form of rewards, and learning from the feedback to adjust its policy or strategy. The agent aims to learn the optimal policy that maximizes the cumulative reward over time.

Reinforcement learning algorithms typically use a trial-and-error ...

Get hands-on with 1400+ tech skills courses.