Related references
Note: Only part of the references are listed.Monte Carlo tree search for materials design and discovery
Thaer M. Dieb et al.
MRS COMMUNICATIONS (2019)
Deep Neural Network and Monte Carlo Tree Search applied to Fluid-Structure Topology Optimization
Audrey Gaymann et al.
SCIENTIFIC REPORTS (2019)
Planning chemical syntheses with deep neural networks and symbolic AI
Marwin H. S. Segler et al.
NATURE (2018)
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
David Silver et al.
SCIENCE (2018)
Mastering the game of Go without human knowledge
David Silver et al.
NATURE (2017)
Analytical model based on artificial neural network for masonry shear walls strengthened with FRM systems
A. Cascardi et al.
COMPOSITES PART B-ENGINEERING (2016)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
Using artificial neural networks in the design of orthotropic bridge decks
Ahmed Shamel Fahmy et al.
ALEXANDRIA ENGINEERING JOURNAL (2016)
Real-Time Monte Carlo Tree Search in Ms Pac-Man
Tom Pepels et al.
IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES (2014)
Single-player Monte-Carlo tree search for SameGame
Maarten P. D. Schadd et al.
KNOWLEDGE-BASED SYSTEMS (2012)
A Survey of Monte Carlo Tree Search Methods
Cameron B. Browne et al.
IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES (2012)
A practical generative design method
Sivam Krish
COMPUTER-AIDED DESIGN (2011)
Inductive Learning in Civil Engineering: Rough Sets Approach
TOMASZ ARCISZEWSKI et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2010)
Monte Carlo Tree Search in Hex
Broderick Arneson et al.
IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES (2010)
PROGRESSIVE STRATEGIES FOR MONTE-CARLO TREE SEARCH
Guillaume M. J-B. Chaslot et al.
NEW MATHEMATICS AND NATURAL COMPUTATION (2008)
Cellular automata model for predicting the failure pattern of laterally loaded masonry wall panels
G. C. Zhou et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2006)
Bandit based Monte-Carlo planning
Levente Kocsis et al.
MACHINE LEARNING: ECML 2006, PROCEEDINGS (2006)
Share Paper
