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Questions tagged [game]

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

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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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2 votes
0 answers
16 views

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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2 votes
4 answers
1k views

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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0 answers
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Video games with built-in logging

I'd like to get some practice with reinforcement learning and data analysis in the domain of video games. I'm looking for a game that logs user behaviours (e.g. UI click events, player position, item ...
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2 votes
1 answer
92 views

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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0 answers
78 views

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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1 answer
40 views

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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1 vote
1 answer
38 views

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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8 votes
1 answer
160 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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2 votes
0 answers
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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1 vote
0 answers
68 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. ...
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3 votes
1 answer
72 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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1 vote
2 answers
594 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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1 vote
0 answers
36 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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1 vote
0 answers
266 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 ...
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2 votes
0 answers
122 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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1 vote
2 answers
58 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. ...
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2 votes
2 answers
91 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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1 vote
1 answer
74 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 ...
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2 votes
1 answer
140 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 ...
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