Welcome to Froge AI Documentation: Reinforcement Learning

Reinforcement Learning (RL) is a type of machine learning where an agent learns to make decisions by taking actions in an environment to maximize some notion of cumulative reward.

Key Concepts

• Agent: The learner or decision maker.
• Environment: What the agent interacts with and learns from.
• Actions: What the agent can do.
• Rewards: Feedback from the environment.
• Policy: The strategy used by the agent to take actions.

Resources

Explore the following resources to deepen your understanding of Reinforcement Learning:

• Introduction to Reinforcement Learning
• Advanced Reinforcement Learning Techniques
• Libraries and Tools for RL

Explore More!

Check out our Froge Labs to see interesting projects and applications of Reinforcement Learning.