A multi-agent, action-masked deep RL framework for general assembly line balancing that claims faster convergence to optimal schedules and polynomial action-space growth on small benchmark instances.
Novel hybrid integrated pix2pix and wgan model with gradient penalty for binary images denoising,
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Novel Multi-Agent Action Masked Deep Reinforcement Learning for General Industrial Assembly Lines Balancing Problems
A multi-agent, action-masked deep RL framework for general assembly line balancing that claims faster convergence to optimal schedules and polynomial action-space growth on small benchmark instances.