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User Activities in Game Replay Sharing Communities and Their Implications for User Retention

期刊: IEEE TRANSACTIONS ON GAMES, 2021; 13 (2)

Online social games such as World of Tanks (WoT) have attracted hundreds of millions of users not only to play the games but also to share game replay......

Controlling Melody Structures in Automatic Game Soundtrack Compositions With Adversarial Learning Guided Gaussian Mixture Models

期刊: IEEE TRANSACTIONS ON GAMES, 2021; 13 (2)

The vastness of gaming plots and variety of environments in computer games require a large amount of labors in soundtrack compositions. Since human co......

Winning Rate Prediction Model Based on Monte Carlo Tree Search for Computer Dou Dizhu

期刊: IEEE TRANSACTIONS ON GAMES, 2021; 13 (2)

Poker is the typical game of incomplete information, and remains a longstanding challenge problem in artificial intelligence (AI). The poker game of D......

On Solving Link-a-Pix Picture Puzzles

期刊: IEEE TRANSACTIONS ON GAMES, 2021; 13 (3)

The Link-a-Pix puzzle, which is also known as Piczle, PathPix, Pictlink, Number Net, or Paint by Pairs, is a popular picture logic puzzle game where t......

Learning the Game of Go by Scalable Network Without Prior Knowledge of Komi

期刊: IEEE TRANSACTIONS ON GAMES, 2020; 12 (2)

AlphaGo trains a value network to predict the win rate of the current state with 7.5 komi on a 19 x 19 board. The komi of most rectangular boards is u......

Self-Adaptive Monte Carlo Tree Search in General Game Playing

期刊: IEEE TRANSACTIONS ON GAMES, 2020; 12 (2)

Many enhancements for Monte Carlo tree search (MCTS) have been applied successfully in general game playing (GGP). MCTS and its enhancements are contr......

Learning to Navigate Through Complex Dynamic Environment With Modular Deep Reinforcement Learning

期刊: IEEE TRANSACTIONS ON GAMES, 2018; 10 (4)

In this paper, we propose an end-to-end modular reinforcement learning architecture for a navigation task in complex dynamic environments with rapidly......

JIF:0.0

Belief-State Monte Carlo Tree Search for Phantom Go

期刊: IEEE TRANSACTIONS ON GAMES, 2018; 10 (2)

Phantom Go is a derivative of Go with imperfect information. It is challenging in AI field due to its great uncertainty of the hidden information and ......

JIF:0.0

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