RMSprop
Machine Learning
A function that defines the immediate feedback signal that the agent receives after taking an action in a given state.
Detailed Explanation
A reward function in machine learning specifies the immediate feedback an agent receives after performing an action within a particular state. It guides the learning process by quantifying the desirability of outcomes, encouraging the agent to select actions that maximize cumulative rewards over time. This function is essential in reinforcement learning, shaping agent behavior and decision-making strategies.
Use Cases
- •Optimizes robot navigation by rewarding safe, efficient paths, leading it to learn the most effective route through trial and error.
Related Terms
Other terms in the Machine Learning category