Browse all content tagged with Autonomous Systems
An embodied AI agent is an intelligent system that perceives, interprets, and interacts with its environment through a physical or virtual body. Learn how these agents operate in robotics and digital simulations, performing tasks that require perception, reasoning, and action.
Reinforcement Learning (RL) is a method of training machine learning models where an agent learns to make decisions by performing actions and receiving feedback. The feedback, in the form of rewards or penalties, guides the agent to improve performance over time. RL is widely used in gaming, robotics, finance, healthcare, and autonomous vehicles.
