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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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Why can't I replicate the results from this paper?

I'm trying to train a model to evaluate chess positions, following the methodology from this paper (note that the author presents several different architectures, but I'm only looking at the ANN with ...
William Markley's user avatar
4 votes
1 answer
224 views

Why do Shapley value solutions remain consistent when the value function of the empty set changes in the ML context?

Hey there data science stack exchange - question about SHAP. In the original Shapley value formulation from Lloyd, one assumption is that the value function of the empty set equals zero, $v(\emptyset) ...
shay's user avatar
  • 143
0 votes
0 answers
33 views

Classifying Players as winners or losers

I have a dataset that I curated from a game that I play. There are currently 130 instances (i.e. players) and an innumerable number of features. Experience tells me <10 features would be sufficient....
Shawn's user avatar
  • 35
1 vote
2 answers
290 views

How to create a bot for a real-time PvP game using machine learning?

Unfortunately, I am not well-versed in machine learning. However, I'm trying to understand if it's possible to create a bot for a real-time PvP game like, for example, Clash Royale or Random Dice: ...
Nolequen's user avatar
  • 111
1 vote
1 answer
67 views

Why does my chess neural network not generalize well?

I'm trying to train a neural net to evaluate chess positions. For reference, the dataset I'm using can be found here. If you follow that link, you'll see that there are three CSV files - I'm only ...
achandra03's user avatar
0 votes
1 answer
38 views

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 ...
FrenchMajesty's user avatar
0 votes
1 answer
65 views

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 ...
klegoff's user avatar
2 votes
0 answers
18 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: ...
vcth4nh's user avatar
  • 121
2 votes
4 answers
4k 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/...
Jenia's user avatar
  • 129
2 votes
1 answer
605 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 ...
user1005909's user avatar
0 votes
0 answers
1k 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 ...
Qwerty's user avatar
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0 votes
1 answer
50 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: ...
CiriousJoker's user avatar
1 vote
1 answer
44 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 ...
Aviad P.'s user avatar
  • 111
8 votes
1 answer
198 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 ...
Logende's user avatar
  • 61
2 votes
0 answers
27 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 ...
Levon T. C.'s user avatar
1 vote
0 answers
112 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. ...
Martin Pichler's user avatar
3 votes
1 answer
137 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 ...
user6118986's user avatar
1 vote
2 answers
1k 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 ...
user137927's user avatar
1 vote
0 answers
38 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 ...
SineSwiper's user avatar
1 vote
0 answers
310 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 ...
user10296606's user avatar
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2 votes
0 answers
140 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 ...
Matheus Prandini's user avatar
1 vote
2 answers
65 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. ...
Matheus Prandini's user avatar
2 votes
2 answers
98 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 ...
metdos's user avatar
  • 131
1 vote
1 answer
97 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 ...
keyan.r's user avatar
  • 29
2 votes
1 answer
145 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 ...
JDOE's user avatar
  • 31