Insights From the NeurIPS 2021 NetHack Challenge

1 code implementation • 22 Mar 2022 • Eric Hambro, Sharada Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michał Sypetkowski

In this report, we summarize the takeaways from the first NeurIPS 2021 NetHack Challenge.

NetHack Reinforcement Learning (RL)

Temporal Graph Network Embedding with Causal Anonymous Walks Representations

1 code implementation • 19 Aug 2021 • Ilya Makarov, Andrey Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Aleksandr Mikheev, Dmitrii Babaev

For evaluation, we provide a benchmark pipeline for the evaluation of temporal network embeddings.

BIG-bench Machine Learning Classification +3

CoLES: Contrastive Learning for Event Sequences with Self-Supervision

3 code implementations • 19 Feb 2020 • Dmitrii Babaev, Ivan Kireev, Nikita Ovsov, Mariya Ivanova, Gleb Gusev, Ivan Nazarov, Alexander Tuzhilin

We address the problem of self-supervised learning on discrete event sequences generated by real-world users.

Contrastive Learning Metric Learning +1

E.T.-RNN: Applying Deep Learning to Credit Loan Applications

1 code implementation • 6 Nov 2019 • Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov

In this paper we present a novel approach to credit scoring of retail customers in the banking industry based on deep learning methods.