The development of artificial intelligence capable of robust and adaptable interaction within complex real-world environments is a paramount challenge. This paper explores the critical role of learning interactive real-world simulators in addressing this challenge. We delve into the fundamental principles, inherent challenges, and cutting-edge techniques associated with creating and utilizing these simulators. Furthermore, we examine the transformative potential of these simulators across diverse domains, emphasizing their capacity to bridge the sim-to-real gap and enhance the efficacy of AI-driven dynamic environments. We augment this discussion with 15 key points, elaborating on crucial aspects of this evolving field.
Artificial Intelligence (AI), Interactive Simulations, Deep Reinforcement Learning, Generative Modeling, Autonomous Systems, Virtual Environments, Adaptive Learning, RealTime Interaction, Predictive Accuracy, Scalability and Efficiency, Human-AI Interaction, Simulation Technology, Machine Learning in Simulation, High Fidelity Simulations, Decision-Making AI