E-LIB Suche - Ergebnisse für: Skrynnik, A. A.

1

Planning and Learning in Multi-Agent Path Finding:

Yakovlev, K. S. ; Andreychuk, A. A. ; Skrynnik, A. A..
Doklady Mathematics. 106 (2022) S1 - p. S79-S84 , 2022

Link: https://doi.org/10.1134/..

2

Object Detection with Deep Neural Networks for Reinforcemen..:

Yudin, D. A. ; Skrynnik, A. ; Krishtopik, A...
Optical Memory and Neural Networks. 28 (2019) 4 - p. 283-295 , 2019

Link: https://doi.org/10.3103/..

3

When to Switch: Planning and Learning for Partially Observa..:

Skrynnik, Alexey ; Andreychuk, Anton ; Yakovlev, Konstantin.
IEEE Transactions on Neural Networks and Learning Systems. , 2024

Link: https://doi.org/10.1109/..

4

Variativity of the Speaker's Verbal and Non-verbal Behavior..:

Soloshchuk, Lyudmila ; Skrynnik, Yuliia
PSYCHOLINGUISTICS. 34 (2023) 2 - p. 110-131 , 2023

Link: https://doi.org/10.31470..

5

Monte-Carlo Tree Search for Multi-agent Pathfinding: Prelim..:

, In: Lecture Notes in Computer Science; Hybrid Artificial Intelligent Systems,

Pitanov, Yelisey ; Skrynnik, Alexey ; Andreychuk, Anton.. - p. 649-660 , 2023

Link: https://doi.org/10.1007/..

6

Numerical Analysis of the Stress-Strain State of Combined S..:

, In: Information Technology for Education, Science, and Technics; Lecture Notes on Data Engineering and Communications Technologies,

Gasii, Grygorii ; Hasii, Olena ; Skrynnik, Ivan. - p. 102-112 , 2023

Link: https://doi.org/10.1007/..

7

Improvement of the vacuum evaporator for the production of ..:

Minenko, Sofiia ; Cherevko, Oleksander ; Skrynnik, Viktoriia...
Eastern-European Journal of Enterprise Technologies. 5 (2023) 11 (125) - p. 76-83 , 2023

Link: https://doi.org/10.15587..

8

Application of the method of structural-parametric identifi..:

Fedotova, M. ; Skrynnik, I. ; Berezyuk, І..
System technologies. 2 (2022) 139 - p. 160-169 , 2022

Link: https://doi.org/10.34185..

9

Pathfinding in stochastic environments: learning vs plannin:

Skrynnik, Alexey ; Andreychuk, Anton ; Yakovlev, Konstantin.
PeerJ Computer Science. 8 (2022) - p. e1056 , 2022

Link: https://doi.org/10.7717/..

10

Reinforcement Learning with Success Induced Task Prioritiza..:

, In: Advances in Computational Intelligence; Lecture Notes in Computer Science,

Nesterova, Maria ; Skrynnik, Alexey ; Panov, Aleksandr - p. 97-107 , 2022

Link: https://doi.org/10.1007/..

11

Identification of signals as one of the stages of synthesis..:

Fedotova, Marianna ; Skrynnik, Ivan ; Osadchy, Serhiy.
System technologies. 4 (2021) 135 - p. 85-94 , 2021

Link: https://doi.org/10.34185..

12

Hybrid Policy Learning for Multi-Agent Pathfinding:

Skrynnik, Alexey ; Yakovleva, Alexandra ; Davydov, Vasilii..
IEEE Access. 9 (2021) - p. 126034-126047 , 2021

Link: https://doi.org/10.1109/..

13

Flexible Data Augmentation in Off-Policy Reinforcement Lear..:

, In: Artificial Intelligence and Soft Computing; Lecture Notes in Computer Science,

Rak, Alexandra ; Skrynnik, Alexey ; Panov, Aleksandr I. - p. 224-235 , 2021

Link: https://doi.org/10.1007/..

14

Hierarchical Deep Q-Network from imperfect demonstrations i..:

Skrynnik, Alexey ; Staroverov, Aleksey ; Aitygulov, Ermek...
Cognitive Systems Research. 65 (2021) - p. 74-78 , 2021

Link: https://doi.org/10.1016/..

15

Q-Mixing Network for Multi-agent Pathfinding in Partially O..:

, In: Artificial Intelligence; Lecture Notes in Computer Science,

Davydov, Vasilii ; Skrynnik, Alexey ; Yakovlev, Konstantin. - p. 169-179 , 2021

Link: https://doi.org/10.1007/..