Learning to learn Berkeley Engineering

Taking inspiration from the way that children instinctively learn and adapt to a wide range of unpredictable environments, Abbeel and assistant professor Sergey Levine are developing algorithms that enable robots to learn from past experiences -- and even from other robots. Based on a principle called deep reinforcement learning, their work is bringing robots past a crucial threshold in demonstrating human-like intelligence, with the ability to independently solve problems and master new tasks in a quicker, more efficient manner.