MOC : [[INTELLIGENCE ARTIFICIELLE]] Date : 2025-01-02 Auteur : [[Brian Christian]] Tags: #livre Note : *** ## Autoréalisation ![[Autoréalisation]] ## Transfer Learning ![[Transfer Learning]] ## Ergodicity ![[Ergodicity]] ## Embedded Agency ![[Embedded Agency]] ## Stochastic gradient descent ![[Stochastic gradient descent]] ## Curse of dimensionality ![[Curse of dimensionality]] ## Représentation distribuée ![[Représentation distribuée]] ## Biais de perpétuation ![[Biais de perpétuation]] ## Differential Privacy ![[Differential Privacy]] ## Fairness ![[Fairness]] ## Calibration ![[Calibration]] ## Gap ![[Gap]] ## Sur la prédiction ![[Sur la prédiction]] ## Rule-based Model ![[Rule-based Model]] ## Accuracy vs Transparency ![[Accuracy vs Transparency]] ## Generalized additive models ![[Generalized additive models]] ## Wisdom of the Crowd ![[Wisdom of the Crowd]] ## Improper Model ![[Improper Model]] ## Saliency ![[Saliency]] ## Mutlitask Learning ![[Mutlitask Learning]] ## Deconvolution ![[Deconvolution]] ## Law of effect ![[Law of effect]] ## Reinforcement Learning ![[Reinforcement Learning]] ## TD Learning ![[TD Learning]] ## Shaping ![[Shaping]] ## Shaping Theorem ![[Shaping Theorem]] ## Epsilon-greedy ![[Epsilon-greedy]] ## Sparsity ![[Sparsity]] ## Créer du Drive chez un modèle ![[Créer du Drive chez un modèle]] ## Tabular Reinforcement Learning ![[Tabular Reinforcement Learning]] ## Apprentissage par imitation ![[Apprentissage par imitation]] ## Erreurs en cascade ![[Erreurs en cascade]] ## On-policy vs Off-policy ![[On-policy vs Off-policy]] ## Thinking, Fast and Slow ![[5_GARDEN/Thinking, Fast and Slow]] ## Cercle vertueux de l'apprentissage ![[Cercle vertueux de l'apprentissage]] ## Infering ![[Infering]] ## Value-aligned ![[Value-aligned]] ## Kinesthetic teaching ![[Kinesthetic teaching]] ## Legible motion ![[Legible motion]] ## Bayesian Neural Network ![[Bayesian Neural Network]] ## Impact ![[Impact]]