The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning

Audrunas Gruslys, Will Dabney, Mohammad Gheshlaghi Azar +3

In this work we present a new agent architecture, called Reactor, which combines multiple algorithmic and architectural contributions to produce an agent with higher sample-efficie…