Questions tagged [gaming]

For questions about AI in relation to video games in particular. (Currently this tag is also used for combinatorial games, such as board and card games.)

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1answer
16 views

Is there a train simulator with scripting interface?

Artificial Intelligence is usually teached with robotics in mind. The problem with car like robots is, that the amount of control which is needed is huge. A car has a position, a speed value, a ...
6
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2answers
376 views

Reinforcement Learning in Commercial Strategy Games

I'm a professional game developer investigating the potential for using reinforcement learning to build strategy game AI opponents that have more creative behavior compared to traditional techniques ...
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1answer
26 views

How do the achievements met in the gaming field (ex. AlphaGo Zero) impact other fields of application?

How can we use the ability of AlphaGo Zero computer, to do something in any other life important related field? Is it possible to make something important besides having created something so smart ...
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0answers
20 views

Superhuman AI to disguise as human players

TL;DR below. You entered a online mini video game. It's a fast-paced hypercasual game. But it's a ranked one - top 10 get prizes. The leaderboard resets and prizes are handed out every couple of ...
1
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1answer
96 views

Importance of starting state and player in RL for Tic Tac Toe

So I am simulating a Tic Tac Toe game with a human opponent. The way the RL trains is through policy/value iterations for a fixed number of iterations all specified by the user. Now whether the human ...
0
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7answers
391 views

Can an AI learn how to play chess without instructions?

Can an AI learn to play chess if you give it nothing but "the goal is to win" as starting criteria? If not, what is the minimum information the AI would need to be "seeded" with in order to learn to ...
12
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6answers
421 views

Are methods of exhaustive search considered to be AI?

Some programs do exhaustive searches for a solution while others do heuristic searches for a similar answer. For example, in chess, the search for the best next move tends to be more exhaustive in ...
5
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1answer
385 views

Game AI - Fast python OCR or cropped image input

I'm developing a Game AI which tries to master racing simulations. I already trained a CNN (alexnet) on ingame footage of me playing the game and the pressed keys as the target. As the CNN is only ...
9
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4answers
8k views

Teach a Neural Network to play a card game

I am currently writing an engine to play a card game, as there is no engine yet for this particular game. I am hoping to be able to introduce a neural net to the game afterwards, and have it learn to ...
3
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1answer
114 views

Transposition table is only used for roughly 17% of the nodes - is this expected?

I'm making a Connect Four game using the typical minimax + alpha-beta pruning algorithms. I just implemented a Transposition Table, but my tests tell me the TT only helps 17% of the time. By this I ...
4
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1answer
177 views

Could AI be used to generate questions from a database input?

I confront to the next scenario: Let's say I have stored data about football matches between different teams: lineups, scorers, yellow cards, and many other events. I need to generate everyday ...
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2answers
481 views

Too small gradient on large neural network

When training on large neural network, how to deal with the case that the gradients are too small to have any impact? FYI, I have an RNN, which has multiple LSTM cells and each cell has hundreds of ...
2
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2answers
357 views

Game AI evaluation function and making progress towards winning

In two player games, the exact value of the evaluation function doesn't matter as long as it's bigger for better positions. However, for learning, it's customary when it does change when the best move ...
3
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2answers
103 views

How to separate image recognition from logic?

For example I would like to implement transparent AI in the RTS game which doesn't offer any AI API (like old games), and I'd like to use image recognition algorithm for detecting the objects which ...
15
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1answer
2k views

How does “Monte-Carlo search” work?

I have heard about this concept in a Reddit post about Alpha Go. I have tried to go through the paper and the article, but could not really make sense of the algorithm. So, can someone give an easy-...
5
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1answer
301 views

How does one code the rules of a boardgame for deep learning?

When Google researchers created AlphaGo, how did they simulate the game of Go? If I wanted to take the same approach to other games, like Risk, how would I go about coding the rules of the game? Is ...
6
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3answers
762 views

Board/Card Game AI - Questions concerning state/action space - Deep Reinforcement Learning

Ok, I now know how a machine can learn to play to play Atari games (Breakout): Playing Atari with Reinforcement Learning With the same technique it is even possible to play FPS games (Doom): Playing ...
4
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0answers
137 views

Game AI - Modify image classification model for analog output

I'm developing a Game AI which tries to master racing simulation. I already trained a CNN (alexnet) on ingame footage of me playing the game and the pressed keys as the target. I had two main issues ...
4
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1answer
271 views

What's stopping Cepheus from generalizing to full poker games?

Cepheus is an artificial intelligence designed to play Texas Hold'em. By playing against itself and learning where it could have done better, it became very good at the game. Slate Star Codex comments:...
6
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3answers
10k views

What are different actions in action space of environment of 'Pong-v0' game from openai gym?

Printing actionspace for Pong-v0 gives 'Discrete(6)' as output, i.e.0,1,2,3,4,5 are actions defined in environment as per documentation, but game needs only two controls. Why this discrepency? Further ...
10
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1answer
392 views

Monte Carlo Tree Search: What kind of moves can easily be found and what kinds make trouble?

I want to start with a scenario that got me thinking about how well MCTS can perform: Let's assume there is a move that is not yet added to the search tree. It is some layers/moves too deep. But if we ...
1
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1answer
86 views

What research has been done in the domain of “General game playing”?

I have come across this domain via this Wikipedia article: General game playing So, where are we when it comes to general game playing AI? (The wiki article doesn't mention the recent advances and ...
4
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1answer
97 views

Different useful approaches of implementing real-time AI?

I identify myself as a human agent. It is time to think about oncoming senior research and due to small experience in gamedev(as well as in AI field), some questions are raised. What are the most ...
6
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1answer
513 views

Game AI without evaluation function

Fundamentally, a game-playing AI must solve the problem of choosing the best action from a set of possible actions. Most existing game AI's, such as Alphago, do this by using an evaluation function, ...
3
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1answer
237 views

How close are we to having an AI that can play Magic: The Gathering objectively well?

With tools like open AI will we be able to teach an AI to build its own decks? build a deck from a limited pool? or draft? evaluate the power level of a card?
2
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4answers
1k views

How to create an AI snake for a video game?

I am creating a snake game in Unity and I would like to implement AI snakes that wander around the globe while avoiding collision with the other snakes on the globe, and if possible I would also like ...
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3answers
1k views

What sort of game problems can Neural-Networks and Genetic Algorithms solve, and how are they typically implemented?

I'm interested mostly in the application of AI in gaming; in case this adjusts the way you answer, but general answers are more than welcome as well. I was reading up on Neural Networks and combining ...
3
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2answers
258 views

How exactly does Angelina design games?

In the recent festival of science, there was a talk given by researcher Mike Cook about: ANGELINA, an AI game designer that has invented game mechanics, made games about news stories, and was the ...
2
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1answer
296 views

How does deepmind's Atari game AI work?

I know that deepmind used deep Q learning (DQN) for its Atari game AI. It used a conv neural network (CNN) to approximate Q(s,a) from pixels instead of from a Q-...
5
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1answer
136 views

How do I know when to use which Monte Carlo method?

I'm a bit confused with extensive number of different Monte Carlo methods such as: Hamiltonian/Hybrid Monte Carlo (HMC), Dynamic Monte Carlo (DMC), Markov chain Monte Carlo (MCMC), Kinetic Monte ...
1
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2answers
208 views

How does artificial intelligence work in games? [closed]

Artificial intelligence is present in many games, both current and older games. How can such intelligence understand what to do? I mean, how can it behave like a human in a game, allowing you to play ...
1
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1answer
98 views

What are the benefits of the VGDL over the ALE?

For benefits of testing AGI, is using a high-level video game description language (VGDL) gives more reliable and accurate results of general intelligence than using Arcade Learning Environment (ALE)?
4
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1answer
892 views

Why did AlphaGo lose its Go game?

We can read on wiki page that in March 2016 AlphaGo AI lost its game (1 of 5) to Lee Sedol, a professional Go player. One article cite says: AlphaGo lost a game and we as researchers want to ...