Proceedings of the Fifth Workshop on Experimental Economics and Machine Learning at the National Research University Higher School of Economics co-located with the Seventh International Conference on Applied Research in Economics (iCare7)

Ахен : CEUR Workshop Proceedings, 2019.

Научный редактор: Игнатов Д. И.

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Deep Reinforcement Learning with VizDoom First-Person Shooter

Dmitry Akimov, Макаров И. А., , in: Proceedings of the Fifth Workshop on Experimental Economics and Machine Learning at the National Research University Higher School of Economics co-located with the Seventh International Conference on Applied Research in Economics (iCare7).: Aachen: CEUR Workshop Proceedings, 2019. P. 3–17.

In this work, we study deep reinforcement algorithms for partially observable Markov decision processes (POMDP) combined with Deep Q-Networks. To our knowledge, we are the first to apply standard Markov decision process architectures to POMDP scenarios. We propose an extension of DQN with Dueling Networks and several other model-free policies to training agent using deep ...

Добавлено: 19 ноября 2019 г.

Efficient Algorithms for Constructing Multiplex Networks Embedding

Pavel Zolnikov, Zubov M., Nikitinsky N. и др., , in: Proceedings of the Fifth Workshop on Experimental Economics and Machine Learning at the National Research University Higher School of Economics co-located with the Seventh International Conference on Applied Research in Economics (iCare7).: Aachen: CEUR Workshop Proceedings, 2019. P. 57–67.

Network embedding has become a very promising technique in analysis of complex networks. It is a method to project nodes of a network into a low-dimensional vector space while retaining the structure of the network based on vector similarity. There are many methods of network embedding developed for traditional single layer networks. On the other ...

Добавлено: 19 ноября 2019 г.

Searching for Interpretable Demographic Patterns

Anna Muratova, Ислам Р., Митрофанова Е. С. и др., , in: Proceedings of the Fifth Workshop on Experimental Economics and Machine Learning at the National Research University Higher School of Economics co-located with the Seventh International Conference on Applied Research in Economics (iCare7).: Aachen: CEUR Workshop Proceedings, 2019. P. 18–31.

Nowadays there is a large amount of demographic data which should be analyzed and interpreted. From accumulated demographic data, more useful information can be extracted by applying modern methods of data mining. Two kinds of experiments are considered in this work: 1) generation of additional secondary features from events and evaluation of its influence on ...

Добавлено: 19 ноября 2019 г.

Deception Detection in Online Media

Alsu Zaynutdinova, Dina Pisarevskaya, Zubov M. и др., , in: Proceedings of the Fifth Workshop on Experimental Economics and Machine Learning at the National Research University Higher School of Economics co-located with the Seventh International Conference on Applied Research in Economics (iCare7).: Aachen: CEUR Workshop Proceedings, 2019. P. 121–127.

Russian Federation and European Union are fighting against fake news together with other countries in various topics. The disinformation affected British referendum of existing EU, the US election and Catalonia’s referendum are broadly studied. A need for automated factchecking increases, European Commission’s Action Plan 8 is an evidence. In this work, we develop a model ...

Добавлено: 19 ноября 2019 г.

Ключевые слова: экономика, машинное обучение, economics, experimental economics, экспериментальная экономика, machine learning