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07/19/2022
Theseus: A Library for Differentiable Nonlinear Optimization
We present Theseus, an efficient application-agnostic open source librar...
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07/14/2022
K-level Reasoning for Zero-Shot Coordination in Hanabi
The standard problem setting in cooperative multi-agent settings is self...
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03/30/2022
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
Most current approaches to undersampled multi-coil MRI reconstruction fo...
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07/20/2021
Active 3D Shape Reconstruction from Vision and Touch
Humans build 3D understandings of the world through active object explor...
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04/20/2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
Model-based reinforcement learning is a compelling framework for data-ef...
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03/06/2021
Off-Belief Learning
The standard problem setting in Dec-POMDPs is self-play, where the goal ...
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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...
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07/20/2020
Active MR k-space Sampling with Reinforcement Learning
Deep learning approaches have recently shown great promise in accelerati...
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07/11/2019
On the Evaluation of Conditional GANs
Conditional Generative Adversarial Networks (cGANs) are finding increasi...
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06/25/2019
Learning Causal State Representations of Partially Observable Environments
Intelligent agents can cope with sensory-rich environments by learning t...
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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...
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10/18/2018
Planning in Stochastic Environments with Goal Uncertainty
We present the Goal Uncertain Stochastic Shortest Path (GUSSP) problem -...
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05/21/2017