2017
Collective robot reinforcement learning with distributed asynchronous guided policy search
IROS 2017poster
Policy search methods and, more broadly, reinforcement learning can enable robots to learn highly complex and general skills that may allow them to function amid the complexity and diversity of the real world. However, training a policy that generalizes well across a wide range of real-world conditi…