This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based RL, policy-gradient methods, model-based met...

AutoRL aims to make RL applicable out of the box by using AutoML and Meta-Learning to make it more efficient, robust and general. AutoRL.org provides an overview of the state of AutoRL.