Herke van Hoof

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University of Amsterdam

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Estimating Gradients for Discrete Random Variables by Sampling without Replacement

We derive an unbiased estimator for expectations over discrete random va...
02/14/2020 ∙ by Wouter Kool, et al. ∙ 21 ∙ share

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Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement

The well-known Gumbel-Max trick for sampling from a categorical distribu...
03/14/2019 ∙ by Wouter Kool, et al. ∙ 10 ∙ share

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Social navigation with human empowerment driven reinforcement learning

The next generation of mobile robots needs to be socially-compliant to b...
03/18/2020 ∙ by Tessa van der Heiden, et al. ∙ 5 ∙ share

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Deep Generative Modeling of LiDAR Data

Building models capable of generating structured output is a key challen...
12/04/2018 ∙ by Lucas Caccia, et al. ∙ 1 ∙ share

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Policy Search with High-Dimensional Context Variables

Direct contextual policy search methods learn to improve policy paramete...
11/10/2016 ∙ by Voot Tangkaratt, et al. ∙ 0 ∙ share

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Addressing Function Approximation Error in Actor-Critic Methods

In value-based reinforcement learning methods such as deep Q-learning, f...
02/26/2018 ∙ by Scott Fujimoto, et al. ∙ 0 ∙ share

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BanditSum: Extractive Summarization as a Contextual Bandit

In this work, we propose a novel method for training neural networks to ...
09/25/2018 ∙ by Yue Dong, et al. ∙ 0 ∙ share

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Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks

Diversity of environments is a key challenge that causes learned robotic...
03/13/2019 ∙ by Sanjay Thakur, et al. ∙ 0 ∙ share

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Reinforcement Learning with Non-uniform State Representations for Adaptive Search

Efficient spatial exploration is a key aspect of search and rescue. In t...
06/15/2019 ∙ by Sandeep Manjanna, et al. ∙ 0 ∙ share

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Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales

Neural Network based controllers hold enormous potential to learn comple...
10/23/2019 ∙ by Sanjay Thakur, et al. ∙ 0 ∙ share

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