27 citations · 28 across the 3 of their papers we have counts for
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cs.LG2025
Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation
Amir Abolfazli, Zekun Song, Avishek Anand +1
The success of deep reinforcement learning (DRL) relies on the availability and quality of training data, often requiring extensive interactions with specific environments. In many…
cs.LG2024★ 1 cited
Model-free reinforcement learning with noisy actions for automated experimental control in optics
Lea Richtmann, Viktoria-S. Schmiesing, Dennis Wilken +5
Setting up and controlling optical systems is often a challenging and tedious task. The high number of degrees of freedom to control mirrors, lenses, or phases of light makes autom…