Learning to Play Othello With Deep Neural Networks
نویسندگان
چکیده
منابع مشابه
Learning to Play Othello with Deep Neural Networks
Achieving superhuman playing level by AlphaGo corroborated the capabilities of convolutional neural architectures (CNNs) for capturing complex spatial patterns. This result was to a great extent due to several analogies between Go board states and 2D images CNNs have been designed for, in particular translational invariance and a relatively large board. In this paper, we verify whether CNN-base...
متن کاملLearning to Play Othello with N -Tuple Systems
This paper investigates the use of n-tuple systems as position value functions for the game of Othello. The architecture is described, and then evaluated for use with temporal difference learning. Performance is compared with previously developed weighted piece counters and multi-layer perceptrons. The n-tuple system is able to defeat the best performing of these after just five hundred games o...
متن کاملNeuro-Evolution Through Augmenting Topologies Applied To Evolving Neural Networks To Play Othello
Many different approaches to game playing have been suggested including alpha-beta search, temporal difference learning, genetic algorithms, and coevolution. Here, a powerful new algorithm for neuroevolution, Neuro-Evolution for Augmenting Topologies (NEAT), is adapted to the game playing domain. Evolution and coevolution were used to try and develop neural networks capable of defeating an alph...
متن کاملLearning to Play Chess with Minimal Lookahead and Deep Value Neural Networks
Faculty of Mathematics and Natural Sciences
متن کاملTraining Deep Convolutional Neural Networks to Play Go
Mastering the game of Go has remained a longstanding challenge to the field of AI. Modern computer Go programs rely on processing millions of possible future positions to play well, but intuitively a stronger and more ‘humanlike’ way to play the game would be to rely on pattern recognition rather than brute force computation. Following this sentiment, we train deep convolutional neural networks...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Games
سال: 2018
ISSN: 2475-1502,2475-1510
DOI: 10.1109/tg.2018.2799997