Nicolas Perrin-Gilbert

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cs.LG2024

AFU: Actor-Free critic Updates in off-policy RL for continuous control

Nicolas Perrin-Gilbert

This paper presents AFU, an off-policy deep RL algorithm addressing in a new way the challenging "max-Q problem" in Q-learning for continuous action spaces, with a solution based o…

cs.LG2024

$Γ$ -VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data

Jason Z. Kim, Nicolas Perrin-Gilbert, Erkan Narmanli +5

Natural systems with emergent behaviors often organize along low-dimensional subsets of high-dimensional spaces. For example, despite the tens of thousands of genes in the human ge…

AFU: Actor-Free critic Updates in off-policy RL for continuous control

Γ-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data

$Γ$ -VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data