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Computer Games = 6th Workshop, CGW 2...
~
Saffidine, Abdallah.
Computer Games = 6th Workshop, CGW 2017, Held in Conjunction with the 26th International Conference on Artificial Intelligence, IJCAI 2017, Melbourne, VIC, Australia, August, 20, 2017, Revised Selected Papers /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Computer Games/ edited by Tristan Cazenave, Mark H.M. Winands, Abdallah Saffidine.
Reminder of title:
6th Workshop, CGW 2017, Held in Conjunction with the 26th International Conference on Artificial Intelligence, IJCAI 2017, Melbourne, VIC, Australia, August, 20, 2017, Revised Selected Papers /
other author:
Cazenave, Tristan.
Description:
XII, 191 p. 52 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence. -
Online resource:
https://doi.org/10.1007/978-3-319-75931-9
ISBN:
9783319759319
Computer Games = 6th Workshop, CGW 2017, Held in Conjunction with the 26th International Conference on Artificial Intelligence, IJCAI 2017, Melbourne, VIC, Australia, August, 20, 2017, Revised Selected Papers /
Computer Games
6th Workshop, CGW 2017, Held in Conjunction with the 26th International Conference on Artificial Intelligence, IJCAI 2017, Melbourne, VIC, Australia, August, 20, 2017, Revised Selected Papers /[electronic resource] :edited by Tristan Cazenave, Mark H.M. Winands, Abdallah Saffidine. - 1st ed. 2018. - XII, 191 p. 52 illus.online resource. - Communications in Computer and Information Science,8181865-0929 ;. - Communications in Computer and Information Science,498.
Atari Games and Intel Processors -- Computer Hex Algorithm using a Move Evaluation Method based on a Convolutional Neural Network -- Deep Preference Neural Network for Move Prediction in Board Games -- Deep Reinforcement Learning with Hidden Layers on Future States -- Neural Fictitious Self-Play in Imperfect Information Games with Many Players -- On-line Parameter Tuning for Monte-Carlo Tree Search in General Game Playing -- Memorizing the Playout Policy -- Distributed Nested Rollout Policy for SameGame -- A Study of Forward versus Backwards Endgame Solvers with Results in Chinese Checkers -- Validating and Fine-tuning of Game Evaluation Functions using Endgame Databases -- Applying Anytime Heuristic Search to Cost-Optimal HTN Planning -- A Game for Eliciting Trust between People and Devices under Diverse Performance Conditions.
This book constitutes revised selected papers from the 6th Workshop on Computer Games, CGW 2017, held in conjunction with the 26th International Conference on Artificial Intelligence, IJCAI 2017, in Melbourne, Australia, in August 2017. The 12 full papers presented in this volume were carefully reviewed and selected from 18 submissions. They cover a wide range of topics related to computer games; discussing six abstract games: Chinese Checkers, Chinese Dark Chess, Hex, Othello, Poker, and SameGame.
ISBN: 9783319759319
Standard No.: 10.1007/978-3-319-75931-9doiSubjects--Topical Terms:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
Computer Games = 6th Workshop, CGW 2017, Held in Conjunction with the 26th International Conference on Artificial Intelligence, IJCAI 2017, Melbourne, VIC, Australia, August, 20, 2017, Revised Selected Papers /
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Atari Games and Intel Processors -- Computer Hex Algorithm using a Move Evaluation Method based on a Convolutional Neural Network -- Deep Preference Neural Network for Move Prediction in Board Games -- Deep Reinforcement Learning with Hidden Layers on Future States -- Neural Fictitious Self-Play in Imperfect Information Games with Many Players -- On-line Parameter Tuning for Monte-Carlo Tree Search in General Game Playing -- Memorizing the Playout Policy -- Distributed Nested Rollout Policy for SameGame -- A Study of Forward versus Backwards Endgame Solvers with Results in Chinese Checkers -- Validating and Fine-tuning of Game Evaluation Functions using Endgame Databases -- Applying Anytime Heuristic Search to Cost-Optimal HTN Planning -- A Game for Eliciting Trust between People and Devices under Diverse Performance Conditions.
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