Exploring Q-Learning for Adaptive Difficulty in a Tile-based Image Labeling Game

2021 IEEE Conference on Games (CoG)(2021)

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摘要
Participant disengagement in citizen science tasks remains a significant challenge for crowdsourcing platform creators, in their efforts to generate meaningful data and connect with their membership. Reinforcement learning is increasingly used to take advantage of the plethora of available data to learn to sequence tasks for participants. To this end, we extend the reinforcement learning technique...
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关键词
Crowdsourcing,Sequential analysis,Image matching,Games,Reinforcement learning,Tools,Approximation algorithms
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