Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing

Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu

Nov-20-2025, 21:08:44 GMT–Neural Information Processing Systems

We theoretically prove that RIL is able to incentivize rational workers to provide high-quality labels.

artificial intelligence, machine learning, reinforcement learning, (16 more...)

Neural Information Processing Systems

Nov-20-2025, 21:08:44 GMT

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Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning
      - Learning Graphical Models > Directed Networks
        Bayesian Learning (0.46)
      - Reinforcement Learning (1.00)
    - Representation & Reasoning > Uncertainty
      - Bayesian Inference (0.73)
  - Communications > Social Media
    - Crowdsourcing (0.66)

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Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing

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