ASkDAgger: How Artificial Intelligence Learns More Effectively by Asking Questions
In a world where robots and AI systems increasingly learn through observation and interaction with humans, the efficiency of this process remains a key challenge. Traditional Imitation Learning methods often require a human teacher to constantly supervise and correct errors, which is time-consuming and costly. A team of researchers led by Jelle Luijkx proposes a groundbreaking solution in their latest paper, “ASkDAgger: Active Skill-level Data Aggregation for Interactive Imitation Learning.” ...