An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms

Caihua Shan, Nikos Mamoulis, Reynold Cheng +3

In this paper, we propose a Deep Reinforcement Learning (RL) framework for task arrangement, which is a critical problem for the success of crowdsourcing platforms. Previous works…