VSCL Graduate Research Assistant Vinicius Goecks presented a paper on Cycle-of-Learning for Autonomous Systems from Human Interaction at the Conference on Artificial Intelligence AAAI-19 on 31 January. Co-authored by researchers from the US Army Research Laboratory’s Human Research and Engineering Directorate, this continuing project investigates how to utilize different forms of human interaction to safely train autonomous systems in real-time by learning from both human demonstrations and interventions. This method improves task completion performance for the same amount of human interaction when compared to learning from demonstrations alone, while also requiring on average 32% fewer data to achieve that performance. This provides evidence that combining multiple modes of human interaction can increase both the training speed and overall performance of policies for autonomous systems. The paper documenting this work is “Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time,” AAAI-2019-6613.