An Effective Approach to Training Machines for Real-World Situations
MIT and Technion researchers have developed an adaptive algorithm that optimizes machine learning by combining imitation and reinforcement learning. The algorithm autonomously decides when to follow or diverge from a teacher model, improving training efficiency and effectiveness. This approach presents a potential way to improve training for complex tasks and could potentially be used with … Read more