Reinforcement Learning

Reinforcement learning is a type of machine learning where an agent learns to make decisions in an environment to maximize a reward. The agent interacts with the environment, takes actions, and receives feedback in the form of rewards or penalties. Through trial and error, the agent learns a policy that maps states to actions, aiming to accumulate the most reward over time.

Visit the following resources to learn more:

• @article@What is reinforcement learning?
• @article@Resources to Learn Reinforcement Learning
• @article@https://huggingface.co/learn/deep-rl-course/unit0/introduction
• @article@Reinforcement Learning in 3 Hours | Full Course using Python