DATA-EFFICIENT REINFORCEMENT LEARNING FOR CONTINUOUS CONTROL TASKS

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for data-efficient reinforcement learning. One of the systems is a system for training an actor neural network used to select actions to be performed by an agent that interacts with an environment by receiving observations characterizing states of the environment and, in response to each observation, performing an action selected from a continuous space of possible actions, wherein the actor neural network maps observations to next actions in accordance with values of parameters of the actor neuralnetwork, and wherein the system comprises: a plurality of workers, wherein each worker is configured to operate independently of each other worker, wherein each worker is associated with a respectiveagent replica that interacts with a respective replica of the environment during the training of the actor neural network. 用于数据高效的强化学习的方法、系统和装置，包括编码在计算机存储介质上的计算机程序。所述系统之一是一种用于训练行动者神经网络的系统，所述行动者神经网络用于选择要由通过接收表征环境的状态的观察并且响应于每个观察