35 citations · 140 across the 24 of their papers we have counts for
5 papers · 1 filter
Simple End-to-end Deep Learning Model for CDR-H3 Loop Structure Prediction
Natalia Zenkova, Ekaterina Sedykh, Tatiana Shugaeva +3
Predicting a structure of an antibody from its sequence is important since it allows for a better design process of synthetic antibodies that play a vital role in the health indust…
Maximum Entropy Model-based Reinforcement Learning
Oleg Svidchenko, Aleksei Shpilman
Recent advances in reinforcement learning have demonstrated its ability to solve hard agent-environment interaction tasks on a super-human level. However, the application of reinfo…
Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation
Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman
In this technical report, we present our solution to the Traffic4Cast 2021 Core Challenge, in which participants were asked to develop algorithms for predicting a traffic state 60…
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World
Florian Laurent, Manuel Schneider, Christian Scheller +24
The Flatland competition aimed at finding novel approaches to solve the vehicle re-scheduling problem (VRSP). The VRSP is concerned with scheduling trips in traffic networks and th…
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments
Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman
Recent reinforcement learning studies extensively explore the interplay between cooperative and competitive behaviour in mixed environments. Unlike cooperative environments where a…