71 citations · 72 across the 3 of their papers we have counts for
3 papers
Neural Online Graph Exploration
Ioannis Chiotellis, Daniel Cremers
Can we learn how to explore unknown spaces efficiently? To answer this question, we study the problem of Online Graph Exploration, the online version of the Traveling Salesperson P…
Effective Version Space Reduction for Convolutional Neural Networks
Jiayu Liu, Ioannis Chiotellis, Rudolph Triebel +1
In active learning, sampling bias could pose a serious inconsistency problem and hinder the algorithm from finding the optimal hypothesis. However, many methods for neural networks…
Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks
Sahand Sharifzadeh, Ioannis Chiotellis, Rudolph Triebel +1
We propose an inverse reinforcement learning (IRL) approach using Deep Q-Networks to extract the rewards in problems with large state spaces. We evaluate the performance of this ap…