15 citations · 28 across the 4 of their papers we have counts for
4 papers · 1 filter
Reinforcement Learning Textbook
Sergey Ivanov
This textbook covers principles behind main modern deep reinforcement learning algorithms that achieved breakthrough results in many domains from game AI to robotics. All required…
Are Hyperbolic Representations in Graphs Created Equal?
Max Kochurov, Sergey Ivanov, Eugeny Burnaev
Recently there was an increasing interest in applications of graph neural networks in non-Euclidean geometry; however, are non-Euclidean representations always useful for graph lea…
Modern Deep Reinforcement Learning Algorithms
Sergey Ivanov, Alexander D'yakonov
Recent advances in Reinforcement Learning, grounded on combining classical theoretical results with Deep Learning paradigm, led to breakthroughs in many artificial intelligence tas…
Anonymous Walk Embeddings
Sergey Ivanov, Evgeny Burnaev
The task of representing entire graphs has seen a surge of prominent results, mainly due to learning convolutional neural networks (CNNs) on graph-structured data. While CNNs demon…