UID:
almahu_9949335241602882
Umfang:
XIII, 257 p. 107 illus., 72 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9783031114885
Serie:
Lecture Notes in Computer Science, 13262
Inhalt:
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.
Anmerkung:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031114878
Weitere Ausg.:
Printed edition: ISBN 9783031114892
Sprache:
Englisch
DOI:
10.1007/978-3-031-11488-5
URL:
https://doi.org/10.1007/978-3-031-11488-5
