NIPS 2017 Videos

There has been recent very exciting advances in (deep) reinforcement learning, particularly in the areas of games and robotics. Yet perhaps the largest impact could come when reinforcement learning systems interact with people. In this tutorial we will discuss work on reinforcement learning for helping and assisting people, and frameworks and approaches for enabling people helping reinforcement learning. We will cover Background on reinforcement learning. Reinforcement learning for people-focused applications Approaches for enabling people to assist reinforcement learners A number of the ideas presented here will also be relevant to many high stakes reinforcement learning systems.