Machine learning frameworks such as Genetic Programming (GP) and
Reinfor...
In this article we study the problem of training intelligent agents usin...
Recent advances in Deep Reinforcement Learning (DRL) have largely focuse...
Deep Reinforcement Learning achieves very good results in domains where
...
In this paper we introduce DeepCrawl, a fully-playable Roguelike prototy...
A core task in process mining is process discovery which aims to learn a...
Image captioning as a multimodal task has drawn much interest in recent
...
Deep Reinforcement Learning (DRL) has recently spread into a range of do...
Visual question answering (VQA) comprises a variety of language capabili...
Deep reinforcement learning (DRL) has recently been adopted in a wide ra...
The correct interpretation of quantifier statements in the context of a
...
The FiLM model achieves close-to-perfect performance on the diagnostic C...
Reinforcement learning approaches have long appealed to the data managem...
We discuss problems with the standard approaches to evaluation for tasks...
We introduce a novel framework for evaluating multimodal deep learning m...