Advances in Computer Games -

Advances in Computer Games

17th International Conference, ACG 2021, Virtual Event, November 23–25, 2021, Revised Selected Papers
Buch | Softcover
XIII, 257 Seiten
2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-11487-8 (ISBN)
74,89 inkl. MwSt
This book constitutes the refereed post-conference proceedings of the 17th International Conference on Advances in Computer Games, ACG 2021, which was held as a virtual event during November 23-25, 2021. The 22 full papers included in this book were carefully reviewed and selected from 34 submissions. They were organized in topical sections as follows: learning in games; search in games; solving games; chess patterns; player modelling; and game systems.

Learning in Games.- Improving Counterfactual Regret Minimization Agents Training in the Card Game Cheat.- Deep Reinforcement Learning for Morpion Solitaire.- Expert Iteration for Risk.- Search in Games.- Sequential Halving Using Scores.- Cosine Annealing, Mixnet and Swish Activation for Computer Go.- A Heuristic Approach to the Game of Sylver Coinage.- Evaluating Interpretability Methods for DNNs in Game-Playing Agents.- Solving Games.- Quixo is Solved.- Solving Bicoloring-Graph Games on Rectangular Boards - Part 1: Partisan Col and Snort.- Solving Bicoloring-Graph Games on Rectangular Boards - Part 2: Impartial Col and Snort.- BoxOff is NP-Complete.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XIII, 257 p. 107 illus., 72 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 421 g
Themenwelt Informatik Software Entwicklung User Interfaces (HCI)
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • Computer Games • computer vision • Decision Making • evolutionaly algorithms • Game AI • Game Design • games and puzzles • Game Theory • general game playing • Human-Computer interaction • Human-Computer Interaction (HCI) • Image Processing • interactive computer graphics • machine learning • Neural networks • Opponent Modelling • Search • User Interfaces • videogames
ISBN-10 3-031-11487-6 / 3031114876
ISBN-13 978-3-031-11487-8 / 9783031114878
Zustand Neuware
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