Questions tagged [neat]
For questions related to the neuroevolution technique called NeuroEvolution of Augmenting Topologies (NEAT), introduced in the paper "Evolving Neural Networks through Augmenting Topologies" (2002) by Kenneth O. Stanley and Risto Miikkulainen.
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Does the NEAT alogrithm disable genes randomly?
It is not mentioned in the original paper, if genes can be disabled randomly. They only mention that the connection gene is disabled, when a node is inserted in it's place. Is it the case, that genes ...
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New input to NEAT not improving learning
I have a set of NEAT inputs for a jump game but the learning was getting stuck at one point. Consider the following screen where Z is the player and ...
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Neat Python - Population size explodes because of high mutation rate [closed]
Someone has already asked a question about this. But I implemented the suggestion made in the comments without success. So I was wondering if anybody had a better idea.
I changed the mutation power ...
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Best fitness function for car driving around a procedural race track?
I am using the NEAT algorithm to power a car around a procedural race track. Each generation, a new track is created to avoid the car overfitting the environment.
The aim is for the car to drive ...
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1
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Can NEAT produce output which has no connection with any other node?
I recently developed a little tool called Neat Cars where you can drawa track, place a car and watch the NEAT algorithm in action (including the ANN).
However, I saw something that caught my attention:...
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How to evaluate a neural network that has recurrent connections
I was attempting to implement NEAT but I am facing a slight problem.
how can I get the order for which to calculate the output of each neuron with recurrent connections present?
I thought if a method ...
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How do I use the N correctly in NEATs speciation delta function?
When implementing NEAT I'm having some issues with the speciation distance/delta function, specifically the term N (number of genes in biggest genome).
Won't term $N$ in $δ=c1*E/N+c2*D/N+c3*W$ just ...
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Is there a way to easily simulate video games, without actually rendering the pixels on screen?
Youtube was recently suggesting to me videos of people training NEAT neural networks for video games. I've noticed that often the training process was quite slow (for example in this Trackmania ...
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neat - what is the purpose of looped networks?
So im writing my own implementation of NEAT and i'm wondering how looped
networks (like one shown in the image) can be useful. I'll probably implement
them anyway because i want to fiddle around with ...
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1
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Order of operations on sparse recurrent network alters the output. How to deal with it?
I'm working on an implementation of NEAT, which evolves neural networks with small and sparse topologies.
Evaluating a sparse and possibly recurrent network requires a different approach than the ...
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NEAT: How to properly handle Node IDs and avoid Competing Conventions?
I'm working on yet another NEAT implementation for a personal project, and I feel like I'm missing something about the proposed solution to the Competing Conventions problem.
Here's what I'm assuming:
...
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NEAT Speciation distance: How does one treat disabled connections?
When calculating the distance between two genomes, how does one treat disabled connections?
For example, consider the following genome:
[1, 0.2, E]
[2, 0.1, D]
[3, 0.2, E]
[4, 0.15, E]
[5, 0.3, D]
[...
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1
answer
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Different ways to produce the same network in NEAT
I have an interesting example for the NEAT and want to clarify what behavior is correct from NEAT's perspective and why (why the opposite is wrong, what are the consequences of choosing the different ...
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In the NEAT algorithm, what is the purpose of treating disjoint and excess genes differently?
In the NEAT algorithm, what is the purpose of treating disjoint and excess genes differently?
They are treated so (or may be treated potentially) at least when calculating the distance between 2 ...
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In what situation would you want to use NEAT over reinforcement learning?
NEAT is an evolutionary algorithm. When would you want to use NEAT over more traditional/common RL algorithms like PPO or SAC etc. What advantage does it give you?
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In NEAT, how do node numbers work?
I have read a lot of debates about node ids and such. I'm not 100% sure how it works, but I am assuming the next node added to a network would be the next number in that specific networks list?
For ...
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How does the paper implement NEAT without a global set tracking Innovations?
I have been reading this paper on NEAT and trying to implement the algorithm in C#. For the most part, I understand everything in the paper however, there are 2 things I don't understand that confuse ...
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How to ensure that the ES-HyperNEAT algorithm generates an ANN in the substrate?
I'm trying to implement the ES-HyperNEAT algorithm using the original paper, as well as the pseudocode provided in the official user page. Occasionally, the algorithm would be unable to generate a ...
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Is there an optimal number of species for NEAT?
Is there an optimal number of species for NEAT?
Since too low and too high is bad, I am thinking about adjusting the threshold of the distance function at runtime in order to have the number of ...
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How can I perform the forward pass in a neural network evolved with NEAT, given that some connections may not exist or there may be loopy connections?
I have a problem that arose as part of a NEAT (Neuro Evolution Through Augmenting Topologies) implementation that I am writing. I am wanting it to produce topologies or graphs that describe neural ...
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1
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Evolved networks fail to solve XOR
My implementation of NEAT consistently fails to solve XOR completely. The species converge on different sub-optimal networks which map all input examples but one correctly (most commonly (1,1,0)). Do ...
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1
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NEAT can't solve XOR completely
I'm currently implementing the NEAT algorithm. But problems occur when testing it with problems which don't have a linear solution(for example xor). My xor only produces 3 correct outputs once at a ...
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How do I determine the genomes to use for crossover in NEAT?
If I have the fitness of each genome, how do I determine which genome will crossover with which, and so on, so that I get a new population?
Unfortunately, I can't find anything about it in the ...
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How to select good inputs and fitness function to achive good results with NEAT for Icy Tower bot
I'm trying to make a bot to the famous "Icy Tower" game.
I rebuilt the game using pygame and I'm trying to build the bot using Python-NEAT.
Every generation a population of 70 characters ...
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1
answer
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What does "In each generation, 25% of offspring resulted from mutation without crossover" mean in the context of NEAT?
I am reading through the NEAT paper. In parameter settings, page 15, there is:
In each generation, 25% of offspring resulted from mutation without crossover.
What does it mean?
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How to perform classification with NEAT-Python?
I am trying to do classification using NEAT-python for the first time, and I am having difficulty getting the accuracy rate. I tried the same problem with an ANN and was able to get a good accuracy ...
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In NEAT, is it a good idea to give the same ID to node genes created from the same connection gene?
Do I have to prevent nodes created from the same connection gene to have different IDs/innovation number? In this example, the node 6 is created from the connection going from node 3 to node 4:
In ...
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1
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575
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Do I have to crossover my node genes in NEAT, and how?
I'm currently trying to code the NEAT algorithm by myself, but I got stuck with two questions. Here they are:
What happens if during crossover a node is removed (or disabled) and there's a connection ...
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I created a snake game and fitted the NEAT algorithm and there's issues
Below are my Inputs Outputs and fitness function. The snake is learning at a slow rate, and seems to be stagnant, additionally when the snake collides with the food, it gets deleted from the genome, ...
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How to choose the activation function in neuroevolution?
I am developing a NEAT flappy bird game, and it doesn't work, the system stays stupid for 300 generations. I chose tanh() for activation, just because it's included in JS.
I can't find a good ...
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Are connections genes in a genome ever deleted or just disabled?
When a new node is added, the previous connection is disabled and not removed.
Is there any situation in which a connection gene is removed? For example, in the above diagram connection gene with ...
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How are weights updated in a genetic algorithm with neural network?
Suppose an AI is to play the game flappy bird. And the fitness function is how long the bird has traveled before the game ends.
Would we have multiple neural networks initialized at the beginning ...
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Unable to achieve expected outputs using NEAT for the snake game
I am trying to implement NEAT for the snake game. My game logic is ready, which is working properly and NEAT configured. But even after 100 generations with 200 genomes per generation, the snakes ...
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1
answer
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Library for rendering neural network NEAT [closed]
I just finished my implementation of NEAT and I want to see the phenotype of each genome. Is there a library for displaying a neural network like this?
Example of my genome syntax:
...
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2
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Can neuroevolution be combined with gradient descent?
Is there any precedent for using a neuroevolution algorithm, like NEAT, as a way of getting to an initialization of weights for a network that can then be fine-tuned with gradient descent and back-...
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How can non-functional neural networks be avoided when the crossover produces a child with a disabled gene?
I am implementing NEAT (neuroevolution of augmenting topologies) by Stanley. I am facing a problem during the crossover of genomes.
Suppose two networks with connections
...
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0
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662
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Exploding population size in neat-python
I am trying to make my AI win the board game "Catan" against my friends.
Therefore i am using the python implementation of NEAT.
As I changed the values of ...
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1
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How does NEAT find the most successful generation without gradients?
I'm new to NEAT, so, please, don't be too harsh. How does NEAT find the most successful generation without gradient descent or gradients?
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How to reduce amount of species in NEAT?
I am using the following library:
https://github.com/vishnugh/evo-NEAT
which seems to be a pretty simple NEAT-implementation.
Therefore I am using the following Config:
...
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What are some examples of tasks in which, currently, neuroevolution outperforms gradient-based approaches?
Note: I am NOT asking for general advantages of neuroevolution over standard approaches (e.g.: architecture search, parallelization), I am asking for examples of tasks in which, currently, ...
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What does the formula $1-\sum_i(e_i-a_i)^2$ mean in this NEAT Python API?
I have looked at the documentation for the NEAT Python API found here, where it's written
The error for each genome is $1-\sum_i(e_i-a_i)^2$
I have not yet learned calculus, so I can't understand ...
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How do I choose an appropriate fitness function and hyper-parameters to train a 7-DOF arm?
I am trying to train an ANN to control a 7 Degrees-Of-Freedom arm. It should reach a target avoiding a single obstacle. Given my modeling of the situation, my input layer is composed of 12 nodes:
5 ...
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2
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Running 2 NEAT nets on the same observations
So i have been playing around with neat-python. I made a program, applying neat, to play pinball on the Atari 2600. The code for that can be found in the file ...
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How accurate are neuroevolution algorithms in modelling organism evolution?
How accurate are neuro-evolution algorithms (such as NEAT) in modelling real organism evolution?
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Is there a neural network with a varying number of neurons?
Is there some type of neural network that changes the number of neurons while training?
Using this idea, the network can increase or decrease the number of neurons when the complexity of the inputs ...
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1
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Why would someone use NEAT over other machine learning algorithms?
Why would someone use a neuroevolution algorithm, such as NEAT, over other machine learning algorithms? What situation would only apply to an algorithm such as NEAT, but no other machine learning ...
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How do you implement NEAT by taking into account the loops?
I'm working on my own implementation of NEAT algorithm based on the original 2002 paper called "Efficient Reinforcement Learning through Evolving Neural Network Topologies" (by Kenneth O. Stanley and ...
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1
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Are innovation weights shared in the NEAT algorithm?
I am trying to implement NEAT algorithm in Python from scratch. However, I am stuck. When a new innovation number is created it has two nodes which represents the connection. Also this innovation ...
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Can NEAT produce neural networks where inputs are directly connected to outputs?
Can NEAT produce neural networks where inputs are directly (without intermediate hidden neurons) connected to outputs?
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Using NEAT, will the child of two parent genomes always have the same structure as the more fit parent?
I'm trying to implement the NEAT Algorithm using c#, based off of Kenneth O. Stanley's paper. On page 109 (12 in the pdf) it states "Matching genes are inherited randomly, whereas disjoint genes (...
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