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Springer电子图书(14)
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CNKI学位论文(890)
知网期刊论文(215)
在“
Elsevier电子期刊
”中,
命中:
39
条,耗时:0.0399864 秒
在所有数据库中总计命中:
1,120
条
1.
Adaptive playouts for online learning of policies during
Monte
Carlo
Tree
Search
作者:
Tobias Graf
;
tobiasg@mail.uni-paderborn.de" class="auth_mail" title="E-mail the corresponding author
;
Marco Platzner
关键词:
Monte
Carlo
Tree
Search
;
Adaptive playouts
;
Computer Go
;
Reinforcement learning
刊名:Theoretical Computer Science
出版年:2016
2.
Modification of improved upper confidence bounds for regulating exploration in
Monte
-
Carlo
tree
search
作者:
Yun-Ching Liu
;
cipherman@logos.t.u-tokyo.ac.jp" class="auth_mail" title="E-mail the corresponding author
;
Yoshimasa Tsuruoka
;
tsuruoka@logos.t.u-tokyo.ac.jp" class="auth_mail" title="E-mail the corresponding author
关键词:
Monte
-
Carlo
tree
search
;
Multi-armed bandit
;
Upper confidence bounds
刊名:Theoretical Computer Science
出版年:2016
3.
Conspiracy number
search
with relative sibling scores
作者:
Jakub Pawlewicz
a
;
pan@mimuw.edu.pl" class="auth_mail" title="E-mail the corresponding author
;
Ryan B. Hayward
b
;
hayward@ualberta.ca" class="auth_mail" title="E-mail the corresponding author
关键词:
Conspiracy number
search
;
Search
algorithm
;
Hex
刊名:Theoretical Computer Science
出版年:2016
4.
Using evaluation functions in
Monte
-
Carlo
Tree
Search
作者:
Richard Lorentz
lorentz@csun.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
MCTS
;
MCTS-EPT
;
Breakthrough
;
Havannah
;
Amazons
刊名:Theoretical Computer Science
出版年:2016
5.
LinUCB applied to
Monte
Carlo
tree
search
作者:
Yusaku Mandai
;
mandai@graco.c.u-tokyo.ac.jp" class="auth_mail" title="E-mail the corresponding author
;
Tomoyuki Kaneko
关键词:
MCTS
;
Multi-armed bandit problem
;
Contextual bandit
;
LinUCB
刊名:Theoretical Computer Science
出版年:2016
6.
Analysis of a
Monte
Carlo
Tree
Search
in Knight-Amazons
作者:
Hikari Kato
;
Mayumi Takaya
;
Akihiro Yamamura
;
yamamura@ie.akita-u.ac.jp" class="auth_mail" title="E-mail the corresponding author
关键词:
The game of the Amazons
;
Knight-Amazons
;
Monte
Carlo
tree
search
;
Monte
Carlo
algorithms
;
UCT
;
Game programs
;
Playouts
;
Tweedledum-Tweedledee strategy
刊名:Procedia Computer Science
出版年:2015
7.
Combining
Monte
-
Carlo
and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem
作者:
Shahriar Asta
a
;
sba@cs.nott.ac.uk" class="auth_mail" title="E-mail the corresponding author
;
Daniel Karapetyan
;
a
;
b
;
daniel.karapetyan@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Ahmed Kheiri
a
;
c
;
kheiria@cardiff.ac.uk" class="auth_mail" title="E-mail the corresponding author
;
Ender Ö
;
zcan
a
;
exo@cs.nott.ac.uk" class="auth_mail" title="E-mail the corresponding author
;
Andrew J. Parkes
a
;
ajp@cs.nott.ac.uk" class="auth_mail" title="E-mail the corresponding author
关键词:
Metaheuristics
;
Hybrid heuristics
;
Hyper-heuristics
;
Monte
Carlo
tree
search
;
Permutation based local
search
;
Multi-project scheduling
刊名:Information Sciences
出版年:2016
8.
Multi-agent Collaboration for Conflict Management in Residential Demand Response
作者:
Fatemeh Golpayegani
;
golpayef@tcd.ie
;
Ivana Dusparic
;
Adam Taylor
;
Siobhá
;
n Clarke
关键词:
Multi-agent collaboration
;
Negotiation
;
Monte
-
Carlo
Tree
Search
;
Demand Response
;
Load balancing
刊名:Computer Communications
出版年:2016
9.
Playout policy adaptation with move features
作者:
Tristan Cazenave
cazenave@lamsade.dauphine.fr" class="auth_mail" title="E-mail the corresponding author
关键词:
Monte
Carlo
tree
search
;
Playout policy
;
Machine learning
;
Computer games
刊名:Theoretical Computer Science
出版年:2016
10.
An analysis for strength improvement of an MCTS-based program playing Chinese dark chess
作者:
Chu-Hsuan Hsueh
a
;
hsuehch@aigames.nctu.edu.tw" class="auth_mail" title="E-mail the corresponding author
;
I-Chen Wu
a
;
icwu@aigames.nctu.edu.tw" class="auth_mail" title="E-mail the corresponding author
;
Wen-Jie Tseng
a
;
wenjie@aigames.nctu.edu.tw" class="auth_mail" title="E-mail the corresponding author
;
Shi-Jim Yen
b
;
sjyen@mail.ndhu.edu.tw" class="auth_mail" title="E-mail the corresponding author
;
Jr-Chang Chen
c
;
jcchen@cycu.edu.tw" class="auth_mail" title="E-mail the corresponding author
关键词:
Monte
Carlo
tree
search
;
Chinese dark chess
;
Early playout terminations
;
Implicit minimax backups
;
Quality-based rewards
;
Progressive bias
刊名:Theoretical Computer Science
出版年:2016
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