Thesis (Selection of subject)Thesis (Selection of subject)(version: 385)
Thesis details
   Login via CAS
Third-party Matchmaking Discord Bot for Valorant
Thesis title in Czech: Matchmaking Discord bot pro hru Valorant
Thesis title in English: Third-party Matchmaking Discord Bot for Valorant
Key words: Discord|matchmaking|Valorant
English key words: Discord|matchmaking|Valorant
Academic year of topic announcement: 2023/2024
Thesis type: Bachelor's thesis
Thesis language: angličtina
Department: Department of Software Engineering (32-KSI)
Supervisor: Mgr. Ladislav Peška, Ph.D.
Author: hidden - assigned and confirmed by the Study Dept.
Date of registration: 24.04.2024
Date of assignment: 12.07.2024
Confirmed by Study dept. on: 12.07.2024
Date and time of defence: 10.02.2025 09:00
Date of electronic submission:08.01.2025
Date of submission of printed version:08.01.2025
Date of proceeded defence: 10.02.2025
Opponents: RNDr. Patrik Dokoupil
 
 
 
Guidelines
Řešitel nejprve získá přehled v problematice oficiálních a third-party matchmakingu (sestavování týmů pro jednotlivé hry) v počítačových hrách. Na základě úvodní rešerše řešitel navrhne optimální algoritmy na balancování férovosti hry a následné ohodnocení hráčů. Řešitel dále navrhne a naimplementuje Discord bota, do které budou matchmaking algoritmy nasazeny. Kromě Discord bota, řešitel vytvoří API pro Twitch příkazy, Twitter bota na sdílení her a základní webové rozhraní pro zobrazení žebříčku.
References
Boroń, M., Brzeziński, J. & Kobusińska, A. P2P matchmaking solution for online games. Peer-to-Peer Netw. Appl. 13, 137–150 (2020). https://doi.org/10.1007/s12083-019-00725-3

Sharad Agarwal and Jacob R. Lorch. 2009. Matchmaking for online games and other latency-sensitive P2P systems. In Proceedings of the ACM SIGCOMM 2009 conference on Data communication (SIGCOMM '09). Association for Computing Machinery, New York, NY, USA, 315–326. https://doi.org/10.1145/1592568.1592605

Josh Alman and Dylan McKay. 2017. Theoretical Foundations of Team Matchmaking. In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS '17). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 1073–1081.

Wang, K., Liu, H., Hu, Z., Feng, X., Zhao, M., Zhao, S., Wu, R., Shen, X., Lv, T., & Fan, C. (2024). EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization. Proceedings of the AAAI Conference on Artificial Intelligence, 38(8), 9098-9106. https://doi.org/10.1609/aaai.v38i8.28760
 
Charles University | Information system of Charles University | http://www.cuni.cz/UKEN-329.html