Stefan Depeweg | DeepAI

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∙ 04/12/2018

Solving Bongard Problems with a Visual Language and Pragmatic Reasoning

More than 50 years ago Bongard introduced 100 visual concept learning pr...

0 Stefan Depeweg, et al. ∙

∙ 12/10/2017

Sensitivity Analysis for Predictive Uncertainty in Bayesian Neural Networks

We derive a novel sensitivity analysis of input variables for predictive...

0 Stefan Depeweg, et al. ∙

∙ 10/19/2017

Decomposition of Uncertainty for Active Learning and Reliable Reinforcement Learning in Stochastic Systems

Bayesian neural networks (BNNs) with latent variables are probabilistic ...

0 Stefan Depeweg, et al. ∙

∙ 09/27/2017

A Benchmark Environment Motivated by Industrial Control Problems

In the research area of reinforcement learning (RL), frequently novel an...

0 Daniel Hein, et al. ∙

∙ 06/26/2017

Uncertainty Decomposition in Bayesian Neural Networks with Latent Variables

Bayesian neural networks (BNNs) with latent variables are probabilistic ...

0 Stefan Depeweg, et al. ∙

∙ 05/23/2016

Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks

We present an algorithm for model-based reinforcement learning that comb...

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