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density models

7 papers

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Co-occurring keywords · papers mentioning both

distribution shift (2) density estimation (2) intrinsic motivation (1) multivariate time series (1) restricted boltzmann machine (1) normalizing flow (1) sparse reward (1) exploration bonus (1) lyapunov stability (1) unsupervised reinforcement learning (1)

Papers

Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control ICML 2022 SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments ICLR 2021 Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests NeurIPS 2020 GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification ICLR 2020 Unifying Count-Based Exploration and Intrinsic Motivation NeurIPS 2016 Cardinality Restricted Boltzmann Machines NeurIPS 2012 Regularized estimation of image statistics by Score Matching NeurIPS 2010