Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning

TL;DR

Following the pivotal success of learning strategies to win at tasks, solely by interacting with an environment without any supervision, agents have gained the ability to make sequential decisions in…

Opening excerpt from the authors’ abstract. source