most citedLeveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained Environments

4 citations · 4 across the 1 of their papers we have counts for

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cs.LG2023★ 4 cited

Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained Environments

Guanlin Meng

This paper aims to explore the potential of combining Deep Reinforcement Learning (DRL) with Knowledge Distillation (KD) by distilling various DRL algorithms and studying their dis…