Search
Close this search box.

Glossary of Artificial Intelligence (AI), Machine Learning (ML), and Big Data Terms

Exploration vs. Exploitation Tradeoff

In reinforcement learning, exploration is the concept of evaluating all the possible options for an agent to maximize its rewards to reach its goal. Exploitation is the agent focusing on the best action known to the model in a state to get the reward. The primary challenge in reinforcement learning is knowing when to explore new states to discover alternate approaches or to exploit the states that the agent is already aware of in case those states lead to the goal.

Get Certified on the Proven Path to Success with AI, Big Data & Analytics Projects

Login Or Register

cropped-CogHeadLogo.png

Register to View Event

cropped-CogHeadLogo.png

Get The Exploration vs. Exploitation Tradeoff

cropped-CogHeadLogo.png

AI Best Practices

Get the Step By Step Checklist for AI Projects

login

Login to register for events. Don’t have an account? Just register for an event and an account will be created for you!