most citedRadDQN: a Deep Q Learning-based Architecture for Finding Time-efficient Minimum Radiation Exposure Pathway

2 citations · 2 across the 1 of their papers we have counts for

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cs.AI2024★ 2 cited

RadDQN: a Deep Q Learning-based Architecture for Finding Time-efficient Minimum Radiation Exposure Pathway

Biswajit Sadhu, Trijit Sadhu, S. Anand

Recent advancements in deep reinforcement learning (DRL) techniques have sparked its multifaceted applications in the automation sector. Managing complex decision-making problems w…