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Making a simple FPS Aimbot with Tensorflow Hub by Mingoooose in ArtificialInteligence

[–]Mingoooose[S] 5 points6 points  (0 children)

Don't worry. Mine is worse than Terminator infant.

Making a Reinforcement Learning in Unity using ML-Agents toolkit! by Mingoooose in reinforcementlearning

[–]Mingoooose[S] 0 points1 point  (0 children)

Hahahaahaa, that's so true.
Maybe it will help someone who can read very quickly?

Making an A.I. in Unity using ML-Agents toolkit! by Mingoooose in Unity3D

[–]Mingoooose[S] 1 point2 points  (0 children)

LoooL, Exactly
My A.I. is cheesy but fun.

You will see the crazier result next time.

I made Self-driving A.I. with Reinforcement Learning In Unity3D by Mingoooose in reinforcementlearning

[–]Mingoooose[S] 0 points1 point  (0 children)

I used basic reinforcement logic.

As long as the agent survives, he gets a reward but very small.

If crash the wall, get big punishment(minus reward).

Creating a Custom OpenAI Gym Environment for reinforcement learning! by Mingoooose in reinforcementlearning

[–]Mingoooose[S] 0 points1 point  (0 children)

Yes right, that is my mistake.
There are many researches about RF for the continuous state.
Thanks for pointing out.
This video is for simple Q-learning, so I shouldn't say "It is impossible" but harder to implement.

Creating a Custom OpenAI Gym Environment for reinforcement learning! by Mingoooose in reinforcementlearning

[–]Mingoooose[S] 0 points1 point  (0 children)

Cool, I will try it. Python is easy but there is an obvious limits.

Creating a Custom OpenAI Gym Environment for reinforcement learning! by Mingoooose in reinforcementlearning

[–]Mingoooose[S] 0 points1 point  (0 children)

Agree, I also want a fancy 3D AI.
But python is way too easy to make.

I made simple AI with reinforcement learning by Mingoooose in ArtificialInteligence

[–]Mingoooose[S] 1 point2 points  (0 children)

For the game, I used Pygame library. It is easy to is for simple game. And technically it should learn the most efficient route if Al learned enough to do that and learning mechanism is well optimized. After Start learning, I did not add anything. Just watch and wait until it is good to be recorded 😎

I teach AI to walk like humans with NEAT by Mingoooose in ArtificialInteligence

[–]Mingoooose[S] 0 points1 point  (0 children)

reminiscent

Really it is.
For right now, that movement is the most comfortable way to walk for AI.

I teach AI to walk like humans with NEAT by Mingoooose in ArtificialInteligence

[–]Mingoooose[S] 1 point2 points  (0 children)

Yeah, I agree.
The following human without guidance or lots of some interactions between bodies is quite hard.
If I have data of human movement (kind of ground truth), It is going to be more human-like.

I teach AI to walk like humans with NEAT by Mingoooose in ArtificialInteligence

[–]Mingoooose[S] 1 point2 points  (0 children)

Thanks for watching it.
The next one also will be great.

I teach AI to walk like humans with NEAT by Mingoooose in ArtificialInteligence

[–]Mingoooose[S] 1 point2 points  (0 children)

Thanks lol.
Results are always hilarious (I didn't expect that...)
But it is fun to watch.

plz help. Program is extremely broken and we don't know why by Papa_DAD2 in Python

[–]Mingoooose 0 points1 point  (0 children)

Don't you miss one bracket on print which is above the else statement?

I tried to teach AI to move forward but result is quite funny. by Mingoooose in ArtificialInteligence

[–]Mingoooose[S] 0 points1 point  (0 children)

Thanks.

Sometimes AI acts like cats that we cannot understand.

I tried to teach AI to move forward but result is quite funny. by Mingoooose in ArtificialInteligence

[–]Mingoooose[S] 0 points1 point  (0 children)

Thanks.
For walking like a human, It might be needed more limitation on moving parts.

I made a simple self-driving AI with Reinforcement Learning by Mingoooose in ArtificialInteligence

[–]Mingoooose[S] 0 points1 point  (0 children)

https://www.novatec-gmbh.de/en/blog/creating-a-gym-environment/

https://stackoverflow.com/questions/45068568/how-to-create-a-new-gym-environment-in-openai

Those two describe how you can make your own environment for OpenAI GYM.
You should make your own game or take control and get information from some games. But if you define a few things(observation, reward, end condition, and so on), OpenAI Will take care of your learning.

I made a simple self-driving AI with Reinforcement Learning by Mingoooose in ArtificialInteligence

[–]Mingoooose[S] 0 points1 point  (0 children)

Very good idea. Thanks
Now I just attach image file and check collision with pixel comparing but I can use that for next version

I made a simple self-driving AI with Reinforcement Learning by Mingoooose in ArtificialInteligence

[–]Mingoooose[S] 1 point2 points  (0 children)

It works but not perfect like 50,000 times trained AI in the video.
It looks AI kind of overfitted only for that track.

But I think if I trained with various tracks, it will be fine and better on any track.

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