Questions tagged [game]
Questions related to analysing or optimising games, such as board games, card games or video games.
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How can I use machine learning to identify groups in social deduction games?
I'm trying to write an algorithm to identify evil factions in the game Town of Salem. In Town of Salem, the mafia have to take over the town. The rest of the town (townies) must prevent this. To do ...
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A/B test results don't hold in hold-out dataset
I'm working on a project consisting in analyzing some game data. The game consists of two players competing between them. The result of the game is either win or lose. Players can choose from ...
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RNN for continuous, real-time learning without pre-training
I am learning ML and I'm trying to solve this problem
Create a rock paper scissors game where the AI is able to beat the player more than 50% of the time.
My initial intuition was to use an RNN with ...
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Is it feasible to integrate convolutionnal layers as Reinforcement Learning input to learn video game?
Let's say, you want to apply reinforcement learning on a simple 2D game. (ex : super mario)
The easy way is of course to retrieve an abstraction of the environnment, per example using gym and/or an ...
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Evaluate the result of a Zero-sum game
I'm currently working on an AI playing Mandarin using Minimax. I can extract this dictionary from a game where 2 AI with different depth plays with each other:
...
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Which AI algorithm is best for chess?
I'm working on my chess bot, and I would like to implement simple artificial intelligence for it. I'm new in it, so I'm unsure how to do it specifically on chess. I heard about Q-learning, Supervised/...
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Learning a board game using a genetic neural network
I've never really done any practical machine learning, this is just a hobby for me.
I'm trying to create a process using a neural network to learn the board game "7 Wonders." Here's how I ...
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Did DeepBlue use machine learning?
Did IBM's DeepBlue, which defeated a human player in chess in 1997, use machine learning? I am a bit confused by this article that says that it is AI, but not ML. Whereas this article says it is AI ...
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How can I predict rank of a team based on list of team members and past placement?
I just started with ML, so this could potentially be a pretty stupid question, plz forgive me.
Here's the gist of the problem:
I have a list in json format like this:
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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 ...
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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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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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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.
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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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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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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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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 ...
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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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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. ...
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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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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 ...
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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 ...
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