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27min chapter
Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter
Machine Learning Street Talk (MLST)
Evolution of Models in Machine Learning towards Robustness
Exploring techniques like domain randomization and unsupervised environment design, this chapter discusses the shift towards robustness in machine learning models. It dives into Mini Max regret strategy, adversarial sampling games, and challenges of convergence, highlighting the complexities of active sampling and optimization algorithms in reaching Nash equilibrium.
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