Search Results for author: Kelsey Allen

Found 6 papers, 3 papers with code

End-to-End Differentiable Physics for Learning and Control

1 code implementation NeurIPS 2018 Filipe de Avila Belbute-Peres, Kevin Smith, Kelsey Allen, Josh Tenenbaum, J. Zico Kolter

We present a differentiable physics engine that can be integrated as a module in deep neural networks for end-to-end learning.

Residual Policy Learning

1 code implementation15 Dec 2018 Tom Silver, Kelsey Allen, Josh Tenenbaum, Leslie Kaelbling

In these tasks, reinforcement learning from scratch remains data-inefficient or intractable, but learning a residual on top of the initial controller can yield substantial improvements.

reinforcement-learning Reinforcement Learning (RL)

Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining

no code implementations27 Mar 2023 Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew McCallum

First, we introduce an algorithm that uses a tree structure to approximate the softmax with provable bounds and that dynamically maintains the tree.

Retrieval

Diffusion Generative Inverse Design

no code implementations5 Sep 2023 Marin Vlastelica, Tatiana López-Guevara, Kelsey Allen, Peter Battaglia, Arnaud Doucet, Kimberley Stachenfeld

Inverse design refers to the problem of optimizing the input of an objective function in order to enact a target outcome.

Denoising

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