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02/06/2022
Exploration with Multi-Sample Target Values for Distributional Reinforcement Learning
Distributional reinforcement learning (RL) aims to learn a value-network...
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06/30/2020
Semi-supervised Sequential Generative Models
We introduce a novel objective for training deep generative time-series ...
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06/13/2019
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training
We introduce the use of Bayesian optimal experimental design techniques ...
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03/12/2019
Imitation Learning of Factored Multi-agent Reactive Models
We apply recent advances in deep generative modeling to the task of imit...
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03/12/2018
