Reinforcement Learning · advanced · concept 130 of 187

🎮Sim-to-Real Transfer

Training RL agents in simulation and deploying them in the real world. Overcomes the cost and danger of real-world training. Domain randomization helps bridge the gap between sim and reality. The wider framing is physical AI: models trained largely in simulated worlds and digital twins before they ever touch hardware.