Luis Pineda | DeepAI

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Featured Co-authors

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Zachary C Lipton
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Kamyar Azizzadenesheli
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David Meger
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∙ 07/19/2022

Theseus: A Library for Differentiable Nonlinear Optimization

We present Theseus, an efficient application-agnostic open source librar...

24 Luis Pineda, et al. ∙

∙ 07/14/2022

K-level Reasoning for Zero-Shot Coordination in Hanabi

The standard problem setting in cooperative multi-agent settings is self...

0 Brandon Cui, et al. ∙

∙ 03/30/2022

On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction

Most current approaches to undersampled multi-coil MRI reconstruction fo...

0 Tim Bakker, et al. ∙

∙ 07/20/2021

Active 3D Shape Reconstruction from Vision and Touch

Humans build 3D understandings of the world through active object explor...

6 Edward J. Smith, et al. ∙

∙ 04/20/2021

MBRL-Lib: A Modular Library for Model-based Reinforcement Learning

Model-based reinforcement learning is a compelling framework for data-ef...

0 Luis Pineda, et al. ∙

∙ 03/06/2021

Off-Belief Learning

The standard problem setting in Dec-POMDPs is self-play, where the goal ...

0 Hengyuan Hu, et al. ∙

∙ 02/26/2021

On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning

Model-based Reinforcement Learning (MBRL) is a promising framework for l...

0 Baohe Zhang, et al. ∙

∙ 07/20/2020

Active MR k-space Sampling with Reinforcement Learning

Deep learning approaches have recently shown great promise in accelerati...

5 Luis Pineda, et al. ∙

∙ 07/11/2019

On the Evaluation of Conditional GANs

Conditional Generative Adversarial Networks (cGANs) are finding increasi...

8 Terrance DeVries, et al. ∙

∙ 06/25/2019

Learning Causal State Representations of Partially Observable Environments

Intelligent agents can cope with sensory-rich environments by learning t...

68 Amy Zhang, et al. ∙

∙ 04/11/2019

Elucidating image-to-set prediction: An analysis of models, losses and datasets

In recent years, we have experienced a flurry of contributions in the mu...

0 Luis Pineda, et al. ∙

∙ 10/18/2018

Planning in Stochastic Environments with Goal Uncertainty

We present the Goal Uncertain Stochastic Shortest Path (GUSSP) problem -...

0 Sandhya Saisubramanian, et al. ∙

∙ 05/21/2017

Generalizing the Role of Determinization in Probabilistic Planning

The stochastic shortest path problem (SSP) is a highly expressive model ...

0 Luis Pineda, et al. ∙

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