Zilong Jiao

Asynchronous Multitask Reinforcement Learning with Dropout for Continuous Control

2019

Deep reinforcement learning is sample inefficient for solving complex tasks. Recently, multitask reinforcement learning has received increased attention because of its ability to learn general policies with improved sample efficiency. In multitask reinforcement learning, a …