Questions tagged [game]

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

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Predicting outcome of MOBA team games

MOBA team games have teams composed of a subset of 5 heroes from a larger set of possible heroes (say 100 heroes in the larger set) For example, a game can be between a team with heroes 1,8,43,65 and ...
8
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1answer
124 views

Which ML approach to choose for the game AI when rewards are delayed?

Question: Which Machine Learning approach should I choose for the AI of my computer game, where the actions of the AI do not lead to immediate rewards, but delayed rewards instead? About me: I am a ...
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0answers
24 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 ...
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0answers
35 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. ...
3
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1answer
48 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 ...
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0answers
321 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 ...
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0answers
30 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 ...
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0answers
157 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
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0answers
100 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 ...
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2answers
52 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
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2answers
87 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 ...
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1answer
53 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
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1answer
135 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 ...