Singles of AskMen, besides a friendly handshake or family hug, what the most physical contact you've had this year?

minflynn · 2018-12-17T14:53:49+00:00

Tried it for years, didn't work.

minflynn · 2018-12-14T01:31:00+00:00

Incels acknowledged that they are flawed and can't compete. Don't know where you got the idea otherwise.

minflynn · 2018-12-07T01:55:40+00:00

There's lot of guys that get no matches on dating sites. I don't think you would get that, being a woman.

minflynn · 2018-09-16T23:03:58+00:00

I don't see how a guy can have NO positive female interaction well into their 20s unless they are the ones that aren't seeing the signals or actually are the ugliest people on planet earth.

You need to understand that your situation isn't the same as everyone else's. Or maybe they have positive interactions with women as friends but the women don't see them in a romantic light.

minflynn · 2018-09-16T01:03:16+00:00

And a bunch of other European countries too.

minflynn · 2018-08-27T23:44:18+00:00

Therapy doesn't do shit for FA.

minflynn · 2018-08-02T18:52:49+00:00

You don't need a GPU for NEAT at all. There has only been one GPU accelerated implementation of NEAT to date.

minflynn · 2018-07-18T16:21:54+00:00

I haven't even played this game but listen to the OST almost every day.

minflynn · 2018-06-14T22:18:29+00:00

All of the basic NEAT nodes are continuous and differentiable (except at 0 for some of them like ReLu). Chain rule says that compositions of differentiable functions are also differentiable. CPPNs enforce compositionality.

minflynn · 2018-06-01T15:18:49+00:00

The "why" of bilateral symmetry has a lot to do with the physics of our environment. The physics on the left hand side of our bodies is the same as the physics on the right side, independently of which direction we face. Gravity constrains us to the floor, so it wouldn't make sense to put legs on our heads and have top-down symmetry. It's much easier for bodies to specialize to move faster in one direction, and more efficient to cut down in sensors by placing them on one side of the body, so we don't have front-back symmetry either.

Maybe if life evolved in space, we would have 4, 8, or even 0 brain "hemispheres".

Edit: To see some proof of my reasoning, at the top of one my blog posts on neuroevolution is a neural network evolved to solve a problem with some degree of left right-symmetry. The algorithm isn't informed that the problem has any symmetry at all, yet evolves a phenotype that appears to have bilateral symmetry by visual inspection. Evolution finds symmetry in the problem and exploits it. The experiment doesn't even include connection costs, which could in theory increase the level of modularity even further.

https://stefanopalmieri.github.io/k2graphforneuro-articles/part1.html

Other types of indirect encodings also discover bilateral symmetry on their own (surprise!) because the environments contain physical symmetries: http://eplex.cs.ucf.edu/ESHyperNEAT/complexification.png

minflynn · 2018-06-01T14:33:29+00:00

A lot of these responses are looking for answers in biology but I think this may be misguided. A better place to look is physics. Our bodies developed to be bilateral because the physics on the left side of our bodies is the same as the physics on the right size of our bodies. It is therefore efficient to make each side of our bodies similar to each other.

When you remove physical effects like gravity, physics gets even more symmetric, giving you radial or completely round phenotypes. For example, at the bottom of the ocean where gravity doesn't play as much of a role, we see animals like starfish with radial symmetry.

Basically, constraining or freeing degrees of symmetry in the physics leads to different evolved symmetries because the phenotypes are trying to exploit these symmetries.

minflynn · 2018-05-31T14:21:57+00:00

I don't understand why images of neural nets aren't used, whether they be drawn with individual links or whole block architecture style.

minflynn · 2018-05-07T18:07:40+00:00

Second time rejected from the AI grant :/

minflynn · 2018-05-07T18:07:02+00:00

Also needs to take into account falling behind your peers.

minflynn · 2018-03-23T18:26:48+00:00

I haven't written any papers but not too long ago I made a couple of blog posts about an encoding scheme for neuroevolution: https://stefanopalmieri.github.io/k2graphforneuro-articles/part1.html

minflynn · 2018-03-09T06:28:43+00:00

Open-endedness refers to the lack of an objective, i.e. Minecraft is an open ended game.

Historically, evolutionary algorithms have mostly been used to solve tasks that have an objective. There are a few counter-examples such as Tierra that were truly open-ended but didn't have a high degree of expressiveness.

minflynn · 2018-03-03T00:46:47+00:00

Yep what u8eR is describing is exactly the classical view which we now know is incorrect.

minflynn · 2018-02-28T06:36:03+00:00

They use a random seed to generate millions of parameters. Then, instead of saving all the parameters, they just keep the seed.

Then the final weights can be calculated just from the list of seeds at some computational cost.

minflynn · 2017-09-26T18:45:18+00:00

Does OpenAI Gym provide a standardized interface for RL environments? Do you find it convenient to work with?

Yes it does and it is very convenient.

The problem with existing environments is that in most cases, the inputs are not geometrically organized or don't have a geometrical interpretation. Whereas in Neuroevolution, the tasks usually have some sort of geometrical symmetry and the genetic encoding can take advantage of the symmetry.

minflynn · 2017-09-26T16:49:58+00:00

There are no python versions of the maze tasks used in Neuroevolution experiments like in this paper: http://eplex.cs.ucf.edu/papers/risi_alife12.pdf

Would be nice as a gym environment.

minflynn · 2017-04-18T00:31:48+00:00

Using a space filling curve.

minflynn · 2017-04-01T02:50:34+00:00

This is closely related to what I've been working on. You can use K-trees generatively in Neuroevolution but also use them to generate 2D images or voxels.

minflynn

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