Advances in Computer Games
14th International Conference, ACG 2015, Leiden, The Netherlands, July 1-3, 2015, Revised Selected Papers
Seiten
2015
|
1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-27991-6 (ISBN)
Springer International Publishing (Verlag)
978-3-319-27991-6 (ISBN)
This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Advances in Computer Games, ACG 2015, held in Leiden, The Netherlands, in July 2015.
The 22 revised full papers presented were carefully reviewed and selected from 34 submissions. The papers cover a wide range of topics such as Monte-Carlo Tree Search and its enhancements; theoretical aspects and complexity; analysis of game characteristics; search algorithms; and machine learning.
The 22 revised full papers presented were carefully reviewed and selected from 34 submissions. The papers cover a wide range of topics such as Monte-Carlo Tree Search and its enhancements; theoretical aspects and complexity; analysis of game characteristics; search algorithms; and machine learning.
Monte-Carlo Tree Search and its enhancements.- Theoretical aspects and complexity.-Analysis of game characteristics.- Search algorithms.- Machine learning.
Erscheinungsdatum | 08.10.2016 |
---|---|
Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
Zusatzinfo | XX, 261 p. 128 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Schlagworte | Algorithm analysis and problem complexity • Artificial Intelligence • combinatorial game • Complexity • Distributed Computing • evaluation function • game tree search • general game playing • heuristic function construction • Inductive Logic Programming • machine learning • Markov decision process • Optimization • Parallel Search • Planning and Scheduling • Random Walk • Realtime • Reinforcement Learning • Search Methodologies • supervised learning • transfer learning |
ISBN-10 | 3-319-27991-2 / 3319279912 |
ISBN-13 | 978-3-319-27991-6 / 9783319279916 |
Zustand | Neuware |
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