Real-World Applications of Reinforcement Learning in Robotics
Reinforcement Learning (RL) is a branch of machine learning that has garnered significant attention in recent years due to its remarkable applications in robotics. Unlike traditional supervised learning, where models learn from labeled data, RL agents learn through interaction with an environment and receiving feedback in the form of rewards. This unique approach has led to groundbreaking advancements in robotics across various domains. One of the most notable applications of RL in robotics is in the field of autonomous vehicles. RL agents can be trained to control self-driving cars, drones,…
