Learning Interactive Real-World Simulators: Enhancing AI-Driven Dynamic Environments
Year: 2025
Type: article
Abstract: 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.
Author: Prince Kumar
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949465846
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