Questions tagged [game]

Questions related to analysing or optimising games, such as board games, card games or video games.

Filter by
Sorted by
Tagged with
0
votes
0answers
16 views

CNN Architecture for Measuring Object Distances

I'm trying to use CNNs for infering object distances from an image. The input images correspond to states of a 2D game: Game states are not represented as images but as matrixes of observations. ...
2
votes
0answers
21 views

Which one of these is the most efficient way to model training data for a neural network that will play a snake-like game?

I am building an AI using a neural network that will play Tron against a human player. The game consists of a board with fixed width and height where each player can move at any direction (except for ...
0
votes
0answers
22 views

loss function for model that predicts a matrix

I'm trying to develop a neural network model that takes a chess board as input and predicts an 8x8 matrix of squares that the white player can reach. Each input is an 8x8x10 matrix, where each 1x1x10 ...
2
votes
0answers
21 views

Feature Encoding for team based sports data

I am currently playing around with Keras and try to use it with various datasets. Now I have a small datasets of football game results. ...
2
votes
1answer
28 views

Supervised learning for a turn-based game?

So I have 4GB of turn-by-turn data for many games of a particular strategy game. It appears that most people interested in using ML to build an AI for turn-based games use reinforcement learning to ...
0
votes
0answers
37 views

Modeling a Neural Network for a Turn-based Strategy (TBS) game

I'm modeling a neural network for a turn-based strategy game that involves purchase items every round. After the purchase phase, a combat phase is automatically executed (the winner gets more gold and ...
0
votes
0answers
227 views

In generative adversarial models (GANs), why should we solve min-max problem and not max-min?

I know that in GANs model, there is min-max game between generator and discriminator which discriminator tries to maximize the loss function and the goal of generator is to minimize it. But why we ...
1
vote
0answers
28 views

What kind of neural network would work best for loosely-defined data, like video game RAM?

I'm trying to build out a network layer map for a neural network to use in an NES AI. Most networks I run across on web searches are CNNs that use image data to identify things. Miles and miles and ...
1
vote
0answers
88 views

comparison of linear Q-learning and DQN

I saw in DQN nature paper 2015 https://www.nature.com/articles/nature14236(Extended Data Table 4) some comparisons between DQN and linear Q-learning. The ratio ...
2
votes
0answers
82 views

CNN combined with a competitive search algorithm [closed]

I'm reading some papers about Deep Neural Networks applied for board games, like for Go with AlphaGo, AlphaGo Zero and some other games, like Othello and Chess. Most of the works are using CNN's as a ...
1
vote
2answers
43 views

Can AlphaGo Zero adapt to oponents skills/profile?

I read the AlphaGo Zero paper and I didn't found nothing about it in there. But I would like to know if AlphaGo Zero can adapt to the way the oponent plays (oponent profile) or something like this. ...
2
votes
2answers
84 views

How to optimize for time correlated hidden function - the magical candy machine

Let's assume that we have this magical candy machine which takes candies as input and delivers again candies as output. For any given time t, it picks a random function which is strictly increasing ...
1
vote
1answer
42 views

Using Machine Learning to play the game SET

I recently tried to make a CNN which could play the game Set: https://en.wikipedia.org/wiki/Set_(game) However, I quickly learned after using my own convolutional neural network and trying to ...
2
votes
1answer
119 views

ML that learns to predict and play a simple wagering game

I have a simple game I'm building for fun, just to see how well ML can work with simple data sets. Basically it's just a game where it has turns that go like this: Computer generates a random number ...