mtmt
Magyar Tudományos Művek Tára
XML
JSON
Átlépés a keresőbe
In English
2021 IEEE Conference on Games (CoG)
Burelli, Paolo [szerk.]
;
Sicart, Miguel [szerk.]
Angol nyelvű Konferenciakötet (Könyv) Tudományos
Megjelent: Institute of Electrical and Electronics Engineers (IEEE), New York, Amerikai Egyesült Államok
2021
Konferencia:
2021 IEEE Conference on Games (CoG) 2021-08-17 [Copenhagen, Dánia]
Azonosítók
MTMT: 32574860
ISBN:
9781665438865
Egyéb URL:
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9619140
Egyéb URL:
https://ieee-cog.org/2021/#proceedings_section
Fejezetek
Czifra Domonkos et al. Towards solving the 7-in-a-row game. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 01-08
Gregor C.. Measuring Difficulty of Novel Clockwork Puzzle Instances Using Evolutionary Algorithms. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 1-8
Spatharioti Sofia Eleni et al. Exploring Q-Learning for Adaptive Difficulty in a Tile-based Image Labeling Game. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 111-118
Muller-Brockhausen Matthias et al. A New Challenge: Approaching Tetris Link with AI. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 143-150
Natucci Gabriel C. et al. The Experience, Dynamics and Artifacts Framework: Towards a Holistic Model for Designing Serious and Entertainment Games. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 151-158
Cazenave Tristan. Improving Model and Search for Computer Go. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 175-182
Humeau Jeremie et al. Planning in the midst of chaos: how a stochastic Blood Bowl model can help to identify key planning features. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 348-355
Earle Sam et al. Video Games as a Testbed for Open-Ended Phenomena. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 539-547
Cook Michael. Monte Carlo Tree Search With Reversibility Compression. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 556-563
Sarkar Anurag et al. Dungeon and Platformer Level Blending and Generation using Conditional VAEs. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 808-815
Goodman James et al. Fingerprinting Tabletop Games. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 860-863
Dockhorn Alexander et al. Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 954-961
Wang Lucy. The Relationship between Personality, Game Motive, and Game Genre Preference: Gender as a Moderator. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 962-965
Jeurissen Dominik et al. Automatic Goal Discovery in Subgoal Monte Carlo Tree Search. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 990-993
Zhu Ying. A Theoretical Framework for Managing Suspense in Games. (2021) Megjelent: 2021 IEEE Conference on Games (CoG) pp. 1097-1100
Hivatkozás stílusok:
IEEE
ACM
APA
Chicago
Harvard
CSL
Másolás
Nyomtatás
2026-04-21 18:26
×
Lista exportálása irodalomjegyzékként
Hivatkozás stílusok:
IEEE
ACM
APA
Chicago
Harvard
Nyomtatás
Másolás