Abstract: In this talk, I will introduce R^3, a new system that helps robots learn and make decisions faster and more efficiently right where they operate. R^3 smartly manages the robot's learning process by adjusting how much data it processes and remembers, ensuring it doesn't run out of memory. This is crucial for robots that need to constantly learn from their surroundings to perform tasks better. We've tested R^3 on different deep reinforcement learning algorithms, proving it works well across various situations, keeping learning fast and reliable without overloading the robot's brain. Our contribution significantly advances real-time robotic learning, and we're excited about exploring collaborative opportunities at the intersection of broader fields.