Lecture Notes in Computer Science - Advances in Computer Games
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Published By Springer International Publishing

9783319279916, 9783319279923

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Adapting Improved Upper Confidence Bounds for Monte-Carlo Tree Search

Lecture Notes in Computer Science - Advances in Computer Games ◽

10.1007/978-3-319-27992-3_6 ◽

2015 ◽

pp. 53-64

Author(s):

Yun-Ching Liu ◽

Yoshimasa Tsuruoka

Keyword(s):

Monte Carlo ◽

Tree Search ◽

Confidence Bounds ◽

Monte Carlo Tree Search

Developing Computer Hex Using Global and Local Evaluation Based on Board Network Characteristics

Lecture Notes in Computer Science - Advances in Computer Games ◽

10.1007/978-3-319-27992-3_21 ◽

2015 ◽

pp. 235-246 ◽

Cited By ~ 2

Author(s):

Kei Takada ◽

Masaya Honjo ◽

Hiroyuki Iizuka ◽

Masahito Yamamoto

Keyword(s):

Network Characteristics ◽

Global And Local

Transfer Learning by Inductive Logic Programming

Lecture Notes in Computer Science - Advances in Computer Games ◽

10.1007/978-3-319-27992-3_20 ◽

2015 ◽

pp. 223-234 ◽

Cited By ~ 1

Author(s):

Yuichiro Sato ◽

Hiroyuki Iida ◽

H. J. van den Herik

Keyword(s):

Logic Programming ◽

Transfer Learning ◽

Inductive Logic Programming ◽

Inductive Logic

Early Playout Termination in MCTS

Lecture Notes in Computer Science - Advances in Computer Games ◽

10.1007/978-3-319-27992-3_2 ◽

2015 ◽

pp. 12-19 ◽

Cited By ~ 5

Author(s):

Richard Lorentz

First Player’s Cannot-Lose Strategies for Cylinder-Infinite-Connect-Four with Widths 2 and 6

Lecture Notes in Computer Science - Advances in Computer Games ◽

10.1007/978-3-319-27992-3_11 ◽

2015 ◽

pp. 113-121

Author(s):

Yoshiaki Yamaguchi ◽

Todd W. Neller

Boundary Matching for Interactive Sprouts

Lecture Notes in Computer Science - Advances in Computer Games ◽

10.1007/978-3-319-27992-3_14 ◽

2015 ◽

pp. 147-159

Author(s):

Cameron Browne

Keyword(s):

Boundary Matching

Go Complexities

Lecture Notes in Computer Science - Advances in Computer Games ◽

10.1007/978-3-319-27992-3_8 ◽

2015 ◽

pp. 76-88

Author(s):

Abdallah Saffidine ◽

Olivier Teytaud ◽

Shi-Jim Yen

Adaptive Playouts in Monte-Carlo Tree Search with Policy-Gradient Reinforcement Learning

Lecture Notes in Computer Science - Advances in Computer Games ◽

10.1007/978-3-319-27992-3_1 ◽

2015 ◽

pp. 1-11 ◽

Cited By ~ 4

Author(s):

Tobias Graf ◽

Marco Platzner

Keyword(s):

Monte Carlo ◽

Reinforcement Learning ◽

Tree Search ◽

Monte Carlo Tree Search ◽

Policy Gradient

LinUCB Applied to Monte-Carlo Tree Search

Lecture Notes in Computer Science - Advances in Computer Games ◽

10.1007/978-3-319-27992-3_5 ◽

2015 ◽

pp. 41-52 ◽

Cited By ~ 1

Author(s):

Yusaku Mandai ◽

Tomoyuki Kaneko

Keyword(s):

Monte Carlo ◽

Tree Search ◽

Monte Carlo Tree Search

Reducing the Seesaw Effect with Deep Proof-Number Search

Lecture Notes in Computer Science - Advances in Computer Games ◽

10.1007/978-3-319-27992-3_17 ◽

2015 ◽

pp. 185-197 ◽

Cited By ~ 1

Author(s):

Taichi Ishitobi ◽

Aske Plaat ◽

Hiroyuki Iida ◽

Jaap van den Herik

Lecture Notes in Computer Science - Advances in Computer GamesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Adapting Improved Upper Confidence Bounds for Monte-Carlo Tree Search

Developing Computer Hex Using Global and Local Evaluation Based on Board Network Characteristics

Transfer Learning by Inductive Logic Programming

Early Playout Termination in MCTS

First Player’s Cannot-Lose Strategies for Cylinder-Infinite-Connect-Four with Widths 2 and 6

Boundary Matching for Interactive Sprouts

Go Complexities

Adaptive Playouts in Monte-Carlo Tree Search with Policy-Gradient Reinforcement Learning

LinUCB Applied to Monte-Carlo Tree Search

Reducing the Seesaw Effect with Deep Proof-Number Search

Lecture Notes in Computer Science - Advances in Computer Games
Latest Publications