crowdAI

Spotify Sequential Skip Prediction Challenge

Predict if users will skip or listen to the music they're streamed

Challenge ended

686
Submissions

523
Participants

23.3 k
Views
Ants Challenge - Part I

Ants as tools to understand society

Challenge ended

26
Submissions

57
Participants

7460
Views
OpenFood Nutrition Table Challenge

Extracting structured nutritional data from food packaging images.

Challenge ended

4
Submissions

46
Participants

5746
Views
Learning How to Walk

Reinforcement learning environments with musculoskeletal models

Challenge ended

200
Submissions

125
Participants

18.1 k
Views

shubhamjain0594 hasn't authored any tutorials yet...

Learning How to Walk | Observation vector | almost 3 years ago

That clears a lot of things.

Thanks a lot.

Learning How to Walk | Observation vector | almost 3 years ago

If I use the X position of the Ankle Joint, this parameter is not a part of observed state but I can still see it in my model. So does it classify as external tracking data?

Learning How to Walk | Observation vector | almost 3 years ago

Yeah, it makes sense.

Just another thing to clarify, if we use any other info to calculate reward which is not a part of state. Then is this approach valid? I feel this destroys the purpose of RL so need your view on this.

Learning How to Walk | Observation vector | almost 3 years ago

Any description of what each component of vector means is appreciated. To understand one has to dig through the opensim documentation which does not seem very intuitive.

Thanks.

Ants Challenge - Part I | Ideas people have used | almost 3 years ago

Can everyone share what are all the ideas you have used. I was trying to train a vgg16 on the 96*96 patches and classify them according to ant which is nearest to the center or empty space.

Apparently shubhamjain0594 prefers to keep an air of mystery about them...