Sep 28, 1998 · Abstract: Dots-and-Boxes is a child's game which remains analytically unsolved. We implement and evolve artificial neural networks to play ...
We implement and evolve ar- tificial neural networks to play this game, evaluat- ing them against simple heuristic players. Our net- works do not evaluate or ...
Dots-and-Boxes is a child's game which remains analytically unsolved. We implement and evolve artificial neural networks to play this game, evaluating them ...
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This work will investigate deep learning techniques with reinforcement learning to make possible a computer program to learn how to play the game, without human ...
In this paper, based on AlphaZero, we propose a model with deep convolutional neural networks using value function and policy function for Dots-and-Boxes game ...
Missing: Evolution | Show results with:Evolution
This paper treats optimizations for Monte-Carlo Tree Search (MCTS) focusing on artificial neural networks.
Missing: Evolution | Show results with:Evolution
Abstract—This paper has studied the game rules, victory or defeat rules, and the key techniques of Dots-and-Boxes, and has designed and realized one 6×6 ...
Neural networks have been used for Q function approximation since the 1980's [3, 4], using stochastic gradient descent to optimize the Q network's approximation ...
Missing: Evolution | Show results with:Evolution
I developed a series of simple heuristics for the game. I then developed an AI player using a feed forward neural network to make move decisions. The network is ...
ABSTRACT. We describe the evolution of intelligent agent teams for the combinatorial difficult game of Dots and Boxes. Agents.