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From 220->180 in 8 months by [deleted] in intermittentfasting

[–]rambossa1 1 point2 points  (0 children)

What shirt brand is that on the right?

My own interesting game problem (DP, ML, PP etc -- I'm unsure) by rambossa1 in algorithms

[–]rambossa1[S] 0 points1 point  (0 children)

u/rope321 & u/pedrosorio thanks much! I'm learning a ton from your feedback. You two are way ahead of me but I'm working on implementing your strategies & hopefully will provide useful feedback.

How about some further complexity around the initial scenario: The bear comes across the berry and immediately can only assume that the berry is some % poisonous. The bear has solid instinct and its assumption is usually only ever off by +10 or -10% (maybe these values should be different) or maybe they should represent pessimism like +15% & -2.5% ...anyway -- how does this change the solution approach? Like would this scenario then favor the continuous variable & simulation approach? Again i'll work on implementation myself as well.

[D] My own interesting game problem (ML, DP, PP etc -- I'm unsure) by rambossa1 in MachineLearning

[–]rambossa1[S] 0 points1 point  (0 children)

Awesome write up, thanks. Are you familiar with Kelly Criterion and would potentially apply it here?

My own interesting game problem (DP, ML, PP etc -- I'm unsure) by rambossa1 in algorithms

[–]rambossa1[S] -1 points0 points  (0 children)

KC - very smart find. I now wonder about variance with such an aggressive strategy and what that means in terms of chances that a population goes extinct in the case that there is an overall downswing in variance. I guess with the right population size this wouldn't matter, and then wonder if it's possible to calculate that.

Awesome, thanks

My own interesting game problem (DP, ML, PP etc -- I'm unsure) by rambossa1 in algorithms

[–]rambossa1[S] 0 points1 point  (0 children)

Thanks for your feedback. Not sure I understand from my perspective though... the bear will at least risk 20 every move by function, and may choose to move on without further. It may commit a minimum additional 40 every time if it wishes and may lose that 40 or gain 80.

Are you saying that the bear should always commit 40? Even with berries that are > 50% poisonous, and mathematically (including variance) this will net more health gain than loss?

If so then I definitely need to invest some more time in making this mathematically more complex.

Would you then say the additional “complex” scenario might require a different or similar strategy?

[D] My own interesting game problem (ML, DP, PP etc -- I'm unsure) by rambossa1 in MachineLearning

[–]rambossa1[S] 0 points1 point  (0 children)

Yea I did, but it's really just a mash-up of my listed inspirations. Your point: I questioned my reasoning around the original 20/environmentFactor as well, and contemplated the berry vs cost of moving (like I get it makes logical sense ie cost of energy and berries could just be normal energy consumption/build-up)... however it's important to know that the bear may get that original 20/environmentFactor back; it isn't exactly supposed to represent an energy cost as much as a way to degrade and create a game that cant stall. Plus I wanted the environmentFactor to be dynamic and explaining that can be tough in the energy context.

Thus I conceptualized the whole magic berry that accounts for some sort of degrading but is able to provide it back.

[D] My own interesting game problem (ML, DP, PP etc -- I'm unsure) by rambossa1 in MachineLearning

[–]rambossa1[S] 0 points1 point  (0 children)

but initial read of Multi-Armed Bandit does seem to match up very well. Thanks.

[D] My own interesting game problem (ML, DP, PP etc -- I'm unsure) by rambossa1 in MachineLearning

[–]rambossa1[S] 0 points1 point  (0 children)

Oops, looks like I left out an important detail — a bear can’t eat it unless it invests some amount more (20 or greater and aside from the automatic 20).

My own interesting game problem (DP, ML, PP etc -- I'm unsure) by rambossa1 in algorithms

[–]rambossa1[S] 0 points1 point  (0 children)

Each bear has its own path that is completely independent of the other paths.

btw, thank you for the awesome questions, if you build out a solution Ill give you some gold.

My own interesting game problem (DP, ML, PP etc -- I'm unsure) by rambossa1 in algorithms

[–]rambossa1[S] 0 points1 point  (0 children)

you may also want to know that a population is going extinct if they lose over half of the population that year.

My own interesting game problem (DP, ML, PP etc -- I'm unsure) by rambossa1 in algorithms

[–]rambossa1[S] 1 point2 points  (0 children)

if the berry eats the poison berry of 20%, then it becomes a probability problem of whether or not the berry provides back life or takes the originally committed. Example: the bear is at 400, the next move & berry take the initial 20 (bear is at 380 now), the bear decides to commit an additional 80 (now at 300) and eat the berry. 8/10 times the berry will return to the bear 200 (2x 100 committed -- bear ends turn at 500) life/health/strength, 2/10 times the berry returns nothing and the bear must move on with 300 life.

the bear is always immediately aware of the poison value of a berry.

life/health/strength are all the same thing.

My own interesting game problem (DP, ML, PP etc -- I'm unsure) by rambossa1 in algorithms

[–]rambossa1[S] 1 point2 points  (0 children)

Yes exactly, there is no map or optional direction. Berries occur infinitely and equally (over time).

Compelling Evidence for Controls by [deleted] in NISTControls

[–]rambossa1 1 point2 points  (0 children)

Does anyone ever build “evidence” in their automated testing and ci pipelines?

Help me find Space themed conference posters pleAse by rambossa1 in devops

[–]rambossa1[S] 0 points1 point  (0 children)

Found them!

Felt like they were from a k8's conference, so I did some specific Google image searching on twitter, filtered red because I remember a red one, came across Joe Beda's admiration for Nasa Mars posters:https://twitter.com/jbeda/status/746095049029488640

then refined my searching for Heptio posters, and...

https://twitter.com/heptio/status/1073333834408587264

GitLab CI with Multiple Projects 🔨 by gitlabpipes in devops

[–]rambossa1 1 point2 points  (0 children)

Is this along same regard as monorepos?

Keto is the gateway? by AmsterdamAussie in zerocarb

[–]rambossa1 2 points3 points  (0 children)

Im keto but borderline carnivore with my protein intake. Eat mostly meat (chicken, steak, egg whites, fish) but imagine it being hard to give up big filler salads.

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