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05/02/2023
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
We study the problem of choosing algorithm hyper-parameters in unsupervi...
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02/09/2023
Domain Generalization by Functional Regression
The problem of domain generalization is to learn, given data from differ...
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06/07/2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space
We introduce SubGD, a novel few-shot learning method which is based on t...
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05/24/2022
History Compression via Language Models in Reinforcement Learning
In a partially observable Markov decision process (POMDP), an agent typi...
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01/13/2021
MC-LSTM: Mass-Conserving LSTM
The success of Convolutional Neural Networks (CNNs) in computer vision i...
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12/02/2020
Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER
We prove under commonly used assumptions the convergence of actor-critic...
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07/16/2020