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mit.edu
Certified Adversarial Robustness for Deep RL - Aerospace Controls Laboratory
This project develops deep RL algorithms that are robust to an adversarial perturbation in the observation space
May 5, 2023
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@workiniterations on Instagram: "Understanding Machine Learning: From Theory to Algorithms - https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf Machine Learning: A Probabilistic Perspective - https://moodle2.units.it/pluginfile.php/241303/mod_resource/content/1/Murphy_Machine_Learning.pdf The Elements of Statistical Learning - https://www.sas.upenn.edu/~fdiebold/NoHesitations/BookAdvanced.pdf Pattern Recognition and Machine Learning
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