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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35 views

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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40 views

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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21 views

Is NEAT speciation really effective?

I tried implementing NEAT algorithm from scratch, and it successfully solves XOR problem. I followed the original NEAT paper. However, when I run XOR problem solving test and calculate average ...
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2answers
32 views

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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8 views

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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56 views

How to evaluate a Genome in NEAT

I am trying to implement NEAT from scratch by going through the original NEAT paper. I implemented a Genome class which consists of a list of Node Genes and ...
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80 views

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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1answer
66 views

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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35 views

How to interpret the final neural network generated in NEAT-Python?

I made a simple obstacle collision game in Python and made a neural network which will play the game using the NEAT (NeuroEvolution of Augmenting Topologies) and I got a final network as follows -> ...
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50 views

ALL OUTPUTS for my neural network return SAME as [0.0, 0.0, 0.0] all of time. Trying to make an AI that plays the Snake Game in Python using NEAT

I am trying to make an AI that plays the Snake Game using the NEAT library in Python. I have most things figured out. I have chosen 6 inputs for my neural network -> Is it clear in forward ...
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73 views

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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2answers
69 views

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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178 views

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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1answer
41 views

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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275 views

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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1answer
69 views

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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1answer
202 views

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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1answer
116 views

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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1answer
179 views

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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2answers
66 views

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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2answers
121 views

what will i be able to do in the end of AI: modern approach? [closed]

i just started the book and i was wondering , what will i be able to do in AI by the end of the book ? and more particularly, what is my position with Reinforcement Learning, deep neural networks and ...
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1answer
65 views

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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1answer
89 views

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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1answer
466 views

Library for rendering neural network NEAT

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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2answers
533 views

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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1answer
107 views

Disabling of genes during crossover (NEAT)

I am implementing NEAT (Neuroevolution of augmenting topologies) by Stanley, Original Paper. I am facing a problem during crossover of genomes. Suppose two networks with connections ...
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0answers
233 views

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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1answer
101 views

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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2answers
137 views

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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0answers
39 views

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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3answers
121 views

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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0answers
51 views

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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2answers
101 views

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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1answer
59 views

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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1answer
174 views

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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1answer
630 views

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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2answers
441 views

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 ...
2
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1answer
178 views

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 ...
3
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1answer
245 views

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?
3
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1answer
86 views

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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1answer
795 views

How does the NEAT speciation algorithm work?

I've been reading up on how NEAT (Neuro Evolution of Augmenting Topologies) works and I've got the main idea of it, but one thing that's been bothering me is how you split the different networks into ...
2
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2answers
455 views

NEAT - Managing species across generations

I (mis?)understood the NEAT algorithm has the following steps: Create a genome pool with N random genomes Calculate each genome fitness Assign each genome to a species Calculate the adjusted fitness ...
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0answers
1k views

NEAT + Keras : reproducibility problem (World Models implementation)

I'm trying to apply the World Models architecture to the Sonic game (using the gym-retro library). My problem concerns the evolutionnary algorithm part that I use as the controller (worldmodels = ...
2
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1answer
682 views

Creating a self learning Mario Kart game AI?

I will be undertaking a project over the next year to create a self learning AI to play a racing game, currently the game will be Mario Kart 64. I have a few questions which will hopefully help me ...
4
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1answer
165 views

Can a crossover result in a node with no outgoing connections?

I'm currently implementing the original NEAT algorithm in Swift. Looking at figure 4 in Stanley's original paper, it seems to me there is a chance that node 5 will have no (enabled) outgoing ...
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2answers
3k views

Can neuro-evolution of augmenting topologies (NEAT) neural networks be built in TensorFlow? [closed]

I am making a machine learning program for time series data analysis and using NEAT could help the work. I started to learn TensorFlow not long ago but it seems that the computational graphs in ...
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1answer
133 views

Can neuro-evolution methods be combined with A3C?

As a amateur researcher and tinkerer, I've been reading up on neuro-evolution networks (e.g. NEAT) as well as the A3C RL approach presented by Mnih et al and got to wondering if anyone has ...
2
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1answer
631 views

What is the order of the genetic operations in NEAT?

I was trying to implement NEAT, but I got stuck at the speciating of my clients/genomes. What I got so far is: the distance function implemented, each genome can mutate nodes/connections, two ...
4
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0answers
105 views

Speciation in NEAT - Advantages of keeping stable number of species

I found several methods for setting the compatibility distance in NEAT: some normalize it, some don't, some automatically adjust it. In a few tests I am running, using normalized static compatibility ...
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2answers
360 views

How do I restrict the neural network structure to be acyclic in NEAT?

I want my neural network structure to not have a circular/looping structure something similar like a directed acyclic graph (DAG). How do I do that?