- A
- A
- A
- ABC
- ABC
- ABC
- А
- А
- А
- А
- А
Pokrovsky boulevard, 11, room S938, Moscow, Russia, 109028
Phone: +7 (495) 772-95-90*27319
The School of Data Analysis and Artificial Intelligence was created in 2014 as part of the Department of Data Analysis and Artificial Intelligence. The school consists of world-renowned researchers who actively participate in international research projects.
Acquaye F. L., Kertesz-Farkas A., Stafford Noble W.
Journal of Proteome Research. 2023. Vol. 22. No. 2. P. 577-584.
Vasilii A. Gromov, Yury N. Beschastnov, Korney K. Tomashchuk.
PeerJ Computer Science. 2023. Vol. 9. No. .
Makhalova T., Kuznetsov S., Napoli A.
Data Mining and Knowledge Discovery. 2022. P. 108-145.
Dudyrev E., Semenkov Ilia, Kuznetsov S. et al.
Plos One. 2022. Vol. 17. No. 10.
Zhirayr Hayrapetyan, Nascimento S., Trevor F. et al.
In bk.: Information Systems and Technologies: WorldCIST 2022, Volume 2. Iss. 469. Springer, 2022. P. 141-147.
Dudyrev F., Neznanov A., Anisimova K.
In bk.: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium -23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II. Springer, 2022. P. 436-439.
Egurnov D., Точилкин Д. С., Ignatov D. I.
In bk.: Complex Data Analytics with Formal Concept Analysis. Springer, 2022. P. 239-258.
Egurnov D., Ignatov D. I.
Automation and Remote Control. 2022. Vol. 83. No. 6. P. 894-902.
Kudriavtseva P., Kashkinov M., Kertész-Farkas A.
Journal of Proteome Research. 2021. Vol. 20. No. 10. P. 4708-4717.
Kanovich M., Kuznetsov S., Scedrov A.
Information and Computation. 2022. Vol. 287.
Modelling of a Human-Like BOT in a First-Person Shooter Game
Artificial Intelligence in Games (Autumn 2016)
Lectures
1. Motion
Movement
Path Finding
Tactical Path Planning
Coordinated Action
2. Decision Making
Decision Trees. Hierarchical FSM
Behavior Trees. Fuzzy Logic
Markov System. Goal-Oriented Behavior. Rule-Based Systems
3. Learning
N-gramms. Naive Bayes. ID3 and ID4 for Decision Trees
Q-Learning. ANN. Tutorial for ANN
4. Game Design and AI EM
Execution Management. Scheduling. World Interfacing
Game Genres and AI Models
Classes
Lessson 1. (v1), (v2), (v3) Project creation. Implementation of C++ actor classes. Game input handling. Blueprints creation. Collision detection. Game modes. HUD.
Lab 1. (v1) Simple AI for playing the game (firefighter).
Lab 2. (v2) Multi-agent AI for playing the game (firefighter 2).
Lab 3. (v3) Multi-agent Time-constrained AI (firefighter 3)
Lesson 2. (v7) Ping-Pong with Deep Reinforcement Learning
Examples of Student Projects with DQN
https://github.com/162/2D-shooter-enviroment by A. Kudinov
https://github.com/vary10/2DInfiniteRunner by V. Girkin
https://github.com/viviken/HSE_AI_Labs/tree/master/Space_Invaders by A. Uvarov
https://github.com/matvey96ka/Deep2DRunner by M. Kashkinov
https://github.com/mrderkach/HSE_AI_Labs/tree/master/SpaceInvaders by D. Derkach
https://github.com/bertall/HSE_AI_Labs/tree/master/BrickBreaker by A. Baishev
https://github.com/lorddux/DQn-project by A. Soldatov
References
Artificial Intelligence for Games, Second Edition (core book)
Journals
IEEE Transactions on Computational Intelligence and AI in Games
International Journal of Computer Games Technolog
Old Projects
https://cs.hse.ru/ai/projects/unreal Unreal Summer Practice
https://github.com/Web-penguin/Snake by A. Sakhabutdinov
https://cs.hse.ru/ai/projects/mfc MFC Game Programming by K. Ivanov
Research Articles
Incremental path search
Improvement of I-ARA*
Predicting Enemy Position
Adaptive Shooting
Reinforcement Learning
Rule-Bases Systems
Reinforcement Learning:
Navigation, Item Collection, and Combat
Combat Behavior
Turing Game Test
http://botprize.org/
FALCON Neural Network
Inverse Reinforcement Learning
Functional Description Language for Game Events
2014-2015
Course Projects
1. Tokmakov, M. Game Artificial Intelligence with Imitation Of Human Response to the Appearance of the Enemy
Presentation with Video
2. Tokmakova, L. Visual Recognition of the Enemy in a three-dimensional maze in Unreal Engine 4
3. Polyakov, P. Smooting the BOT path through combined approximation based on Voronoi's diagramm
Simple smoothing
Smoothing with map and curve parameters
Real-time construction of Voronoi diagram
Voronoi pathfinding parameters
CS 1.6
4. Goncharov, V. Parser for package of demorecords with the visuzalizing in 2D of human tracing and game events
Unreal Engine 4 Demo
5. Goncharov, V. Cinematic trailer of a space station docking
2015-2016
1. Tokmakov, M. The BOT Decision Making Model for 3D First Person Shooter in Unreal Engine 4
2. Polyakov, P. BOT's Movements Algorithms in Case of Enemy Detection for 3D First Person Shooter in Unreal Engine 4
3. Zyuzin, P. Weapon Selection Algorithms Based on Neural Networks for 3D First Person Shooter in Unreal Engine 4
4. Konoplya, O. Application of Oculus Rift VR DK2 and HTC Vive to the Navigation and Sighting for 3D First Person Shooter in Unreal Engine 4
5. Martynov, M. Adaptive Shooting for 3D First Person Shooter in Unreal Engine 4
6. Kuznetsov, G. Automated Weapon Selection for 3D First Person Shooter in Unreal Engine 4
7. Guschenko-Cheverda, I. Moving-Target Search Algorithms for 3D First Person Shooter in Unreal Engine 4
8. Uriev, M. Enemy's Pursuit Escape Algorithms for 3D First Person Shooter in Unreal Engine 4
9. Mokeev, I. Item and Bonus Collection for 3D First Person Shooter in Unreal Engine 4
10. Kosmachev, A. Adapting Targeting with Respect to a Human-Player Reaction on an Enemy Appearance
11. Karpichev, R. Strategic Planning of Collective Rule-Based Decision Making for 3D First Person Shooter in Unreal Engine 4
Conferences
AIST'15
Imitation of Human Behavior in 3D-Shooter Game
Presentation on SlideShare Abstract
AIST'16
Smoothing Voronoi-based Path with Minimized Length and Visibility using Composite Bezier Curves
Presentation Abstract
EEML'16
Modelling Human-like Behavior through Reward-based Approach in a First-Person Shooter Game
Presentation Abstract
ACM MM'16
First-Person Shooter Game for Virtual Reality Headset with Advanced Multi-Agent Intelligent System
Presentation Abstract
FLAIRS'17
Adapting First-Person Shooter Video Games for Playing with Virtual Reality Headsets (in print)
ACM SIGGRAPH'17
Deep Learning and Artificial Intelligence Methods for First-Person Shooter Games in Virtual Reality (on review)
Publications
1. Makarov I., Tokmakov, M., Tokmakova, L., Imitation of Human Behavior in 3D-Shooter Game, in: Supplementary Proceedings of the 4th International Conference on Analysis of Images, Social Networks and Texts (AIST'2015) Issue 1452. Aachen: CEUR Workshop Proceedings, 2015. Ch. 9. P. 64-77.
URL: http://ceur-ws.org/Vol-1452/paper9.pdf
2. Makarov I., Pavel Polyakov. Smoothing Voronoi-based Path with Minimized Length and Visibility using Composite Bezier Curves, in: Supplementary Proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2016), Yekaterinburg, Russia, April 7-9, 2016. / Науч. ред.: D. I. Ignatov. Vol. 1710. Aachen: CEUR Workshop Proceedings, 2016. Ch. 19. P. 191-202.
URL: http://ceur-ws.org/Vol-1710/paper19.pdf
3. Makarov I., Zyuzin, P., Polyakov, P., Tokmakov, M., Gerasimova, O., Guschenko-Cheverda, I., Uriev, M. Modelling Human-like Behavior through Reward-based Approach in a First-Person Shooter Game, in: Proceedings of the Third Workshop on Experimental Economics and Machine Learning (EEML 2016), Moscow, Russia, July 18, 2016 / R. Tagiew, D. I. Ignatov, et al. Vol. 1627. Aachen : CEUR Workshop Proceedings, 2016.
URL: http://ceur-ws.org/Vol-1627/paper2.pdf
4. Makarov I., Tokmakov, M., Polyakov, P., Zyuzin, P., Martynov, M., Konoplya, O., Kusnetsov, G., Guschenko-Cheverda, I., Uriev, M., Mokeev, I., Gerasimova, O., Tokmakova, L., Kosmachev, A. First-Person Shooter Game for Virtual Reality Headset with Advanced Multi-Agent Intelligent System, in: Proceedings of the 24th ACM international conference on Multimedia (ACM MM'16), Amsterdam, Netherlands, 15-19 October 2016. NY : Association for Computing Machinery (ACM), 2016.
DOI: http://doi.org/10.1145/2964284.2973826 (Core A* Conference)
5. Makarov, I., Konoplya, O., Polyakov, P., Martynov, M., Zyuzin, P., Gerasimova, O., Bodishtianu, V. Adapting First-Person Shooter Video Games for Playing with Virtual Reality Headsets, in: Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference (FLAIRS-30), Marco Island, Florida, USA, May 22-24, 2017 / AAAI Press, 2017.
URL: https://sites.google.com/site/flairs30conference/program
6. Makarov, I., Polyakov, P., Martynov, M., Zyuzin, P., Konoplya, O., Gerasimova, O. Deep Learning and Artificial Intelligence Methods for First-Person Shooter Games in Virtual Reality, in Proceedings of 44th ACM SIGGRAPH International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH’44), Los Angeles, USA, 2017. (on review)
