Interactive Environment

Interactive environments are virtual or augmented reality spaces designed for dynamic interaction between agents (human or AI) and their surroundings, aiming to create realistic and responsive experiences. Current research focuses on improving AI agent capabilities within these environments, employing techniques like reinforcement learning (with importance sampling for improved training efficiency), large language models for planning and control, and neural networks for real-time scene generation and object interaction. This field is significant for advancing AI research in areas such as robotics, autonomous vehicles, and human-computer interaction, with applications ranging from interactive gaming and simulation to assistive technologies and industrial automation.