Dmitry Ivanov

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 39

Top Topics

Reinforcement Learning

Decision Making

Development Environments

Top Venues

Publications

Aleksandr Misonizhnik, Sergey Morozov, Yurii Kostyukov, Vladislav Kalugin, Aleksei Babushkin, Dmitry Mordvinov, Dmitry Ivanov
KLEEF: Symbolic Execution Engine (Competition Contribution). FASE (2024)
Jared Ray Coleman, Dmitry Ivanov, Evangelos Kranakis, Danny Krizanc, Oscar Morales-Ponce
Linear Search for an Escaping Target with Unknown Speed. IWOCA (2024)
Dmitry Ivanov, Omer Ben-Porat
Personalized Reinforcement Learning with a Budget of Policies. AAAI (2024)
Zakhar Iakovlev, Alexey Chulkov, Nikita Golikov, Vyacheslav Lukianov, Nikita Zinoviev, Dmitry Ivanov, Vitaly Aksenov
Trigram-Based Persistent IDE Indices with Quick Startup. CoRR (2024)
Jared Ray Coleman, Dmitry Ivanov, Evangelos Kranakis, Danny Krizanc, Oscar Morales-Ponce
Linear Search for an Escaping Target with Unknown Speed. CoRR (2024)
Dmitry Ivanov, Omer Ben-Porat
Personalized Reinforcement Learning with a Budget of Policies. CoRR (2024)
Benjamin Rolf, Ilya Jackson, Marcel Müller, Sebastian Lang, Tobias Reggelin, Dmitry Ivanov
A review on reinforcement learning algorithms and applications in supply chain management. Int. J. Prod. Res. 61 (20) (2023)
Elizaveta Tarasova, Dmitry Ivanov
Call Centre Optimization Based on Personalized Requests Distribution. OL2A (1) (2023)
Dmitry Ivanov, Ilya Zisman, Kirill Chernyshev
Mediated Multi-Agent Reinforcement Learning. CoRR (2023)
Dmitry Ivanov, Ilya Zisman, Kirill Chernyshev
Mediated Multi-Agent Reinforcement Learning. AAMAS (2023)
Dmitry Ivanov, Alexey Menshutin, Maxim Pelevin, Daniil Stepanov, Denis Fokin, Yury Kamenev, Egor Kulikov, Artemiy Kononov, Sergey Pospelov, Ivan Volkov, Alena Lisevych, Timur Yuldashev, Nikita Stroganov, Andrey Tarbeev
UTBot at the SBFT 2023 Java Tool Competition. SBFT (2023)
Dmitry Ivanov, Mark Zaslavskiy
Review of Drone Swarms Usage for 3D Reconstruction. FRUCT (2023)
Tonghan Wang, Paul Duetting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes
Deep Contract Design via Discontinuous Networks. NeurIPS (2023)
Tonghan Wang, Paul Dütting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes
Deep Contract Design via Discontinuous Piecewise Affine Neural Networks. CoRR (2023)
Dmitry Ivanov, Alexey Babushkin, Saveliy Grigoryev, Pavel Iatchenii, Vladislav Kalugin, Egor Kichin, Egor Kulikov, Aleksandr Misonizhnik, Dmitry Mordvinov, Sergey Morozov, Olga Naumenko, Alexey Pleshakov, Pavel Ponomarev, Svetlana Shmidt, Alexey Utkin, Vadim Volodin, Arseniy Volynets
UnitTestBot: Automated Unit Test Generation for C Code in Integrated Development Environments. ICSE Companion (2023)
Peter Lozov, Dmitry Kosarev, Dmitry Ivanov, Dmitry Boulytchev
Relational Solver for Java Generics Type System. LOPSTR (2023)
Vitaly Aksenov, Dmitry Ivanov, Ravil Galiev
Benchmark Framework with Skewed Workloads. CoRR (2023)
Dmitry Ivanov, Iskander Safiulin, Igor Filippov, Ksenia Balabaeva
Optimal-er Auctions through Attention. NeurIPS (2022)
Dmitry Ivanov, Mikhail Kiselev, Denis Larionov
Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations. CoRR (2022)
Farid Bagirov, Dmitry Ivanov, Aleksei Shpilman
Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled Data. CoRR (2022)
Dmitry Ivanov, Iskander Safiulin, Ksenia Balabaeva, Igor Filippov
Optimal-er Auctions through Attention. CoRR (2022)
Tobias Reggelin, Dmitry Ivanov, Sebastian Lang, Stefan Galka
Introduction to the Minitrack on Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0. HICSS (2022)
Georgiy Pshikhachev, Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman
Self-Imitation Learning from Demonstrations. CoRR (2022)
Dmitry Ivanov
From Supply Chain Resilience to Ecosystem Viability: Lessons from and Thinking Beyond the COVID-19 Pandemic. DATA (2022)
Dmitry Ivanov, Aleksandr Chezhegov, Andrey Grunin, Mikhail Kiselev, Denis Larionov
Neuromorphic Artificial Intelligence Systems. CoRR (2022)
Kirill Krinkin, Valeriia Dopira, Mark Zaslavskiy, Maxim Subbotin, Nikita Iyerussalimov, Sergey Sorokumov, Yaroslav Gosudarkin, Sergey Glazunov, Dmitry Ivanov
ProExamit: Development of Cross-Platform, Fully Automated and Expandable in Terms of Detectable Violations Proctoring. IDC (2022)
Dmitry Ivanov, Alexey Menshutin, Denis Fokin, Yury Kamenev, Sergey Pospelov, Egor Kulikov, Nikita Stroganov
UTBot Java at the SBST2022 Tool Competition. SBST@ICSE (2022)
Anastasiia Ivanytska, Liudmyla Zubyk, Yaroslav Zubyk, Dmitry Ivanov
The Advertising Prediction Model Based on Machine Learning Technologies. IT&I Workshops (2021)
Dmitry Ivanov, Nikolay Bukharev, Alexey Menshutin, Arsen Nagdalian, Gleb Stromov, Artem Ustinov
UtBot at the SBST2021 Tool Competition. SBST@ICSE (2021)
Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments. CoRR (2021)
Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments. AAMAS (2021)
Stefan Galka, Tobias Reggelin, Sebastian Lang, Dmitry Ivanov
Introduction to the Minitrack on Modeling and Decision Making in Manufacturing and Logistics in the Age of Industry 4.0. HICSS (2021)
Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. CoRR (2021)
Dmitry Ivanov
DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled Learning. ICMLA (2020)
Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. NeurIPS (Competition and Demos) (2020)
Dmitry Ivanov, Sibylle Schupp
Static analysis for worst-case battery utilization. FormaliSE@ICSE (2019)
Dmitry Ivanov, Alexander Nesterov
Identifying Bid Leakage in Procurement Auctions: Machine Learning Approach. EC (2019)
Dmitry Ivanov
DEDPUL: Method for Mixture Proportion Estimation and Positive-Unlabeled Classification based on Density Estimation. CoRR (2019)
Dmitry Ivanov, Kim G. Larsen, Sibylle Schupp, Jirí Srba
Analytical Solution for Long Battery Lifetime Prediction in Nonadaptive Systems. QEST (2018)