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cs.LG2025
Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach
Adithya Mohan, Dominik Rößle, Daniel Cremers +1
Recent advancements in Deep Reinforcement Learning (DRL) have demonstrated its applicability across various domains, including robotics, healthcare, energy optimization, and autono…
cs.LG2025★ 2 cited
Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data
Calvin Kammerlander, Viola Kolb, Marinus Luegmair +6
Efficient nutrient management and precise fertilization are essential for advancing modern agriculture, particularly in regions striving to optimize crop yields sustainably. The Ag…