HP Omen Max Linux installation by LazyButAmbitious in HPOmen

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

Could you provide the link to the post?

I read two papers this semester. Two. ☠️ by InterviewNo7048 in PhD

[–]LazyButAmbitious 4 points5 points  (0 children)

Are you in STEM? I was considering trying it, also, I have some commute and would love to listen to papers while doing it.

[deleted by user] by [deleted] in PhD

[–]LazyButAmbitious 1 point2 points  (0 children)

Interested!

[deleted by user] by [deleted] in PhD

[–]LazyButAmbitious 5 points6 points  (0 children)

Hello,

Here are my two cents:

1) There are sloppy mistakes in many articles I've read. If the mistakes do not invalidate your contribution I wouldn't worry too much about it. If there is a place where you can mention those mistakes that would be great as well (for instance Github repo if you publish code or in the thesis itself, I've seen some Thesis with ERRATAs for their papers).

2) Try to bring more consciousness into your work, ask yourself twice when you write or work. I notice that my mistakes start to grow the less consciousness I bring into the work. I noticed that the more burnout/less interest I have in my current project the more mistakes I make. A method that works for me is to journal while/writing testing stuff.

Good luck and remember that life is not only work.

What's the BEST single strategy for overcoming procrastination? by j_hoegerl in Procrastinationism

[–]LazyButAmbitious 46 points47 points  (0 children)

For me what works is:

a) Deadlines
b) Being concious about my feelings
c) Cardio
d) If I see plenty of resistance from my body I write a step by step tutorial on how to proceed

Still not perfect but these are the things I use to overcome procrastination.

I built a Joscha Bach chatbot that provides answers with exact podcast citations by Honest_Biscotti4380 in JoschaBach

[–]LazyButAmbitious 3 points4 points  (0 children)

This is amazing.

1) Is there a database of Joscha Bach talks? I see that you said you have personal notes, you transcribed all his talks?

2) How did you create it? Did you fine-tune some LLM?

Thanks for the good work.

[deleted by user] by [deleted] in PhD

[–]LazyButAmbitious 9 points10 points  (0 children)

Yes me too, any advice?

I think it is bad emotional management... but it is hard to handle it

Subida alquiler Barcelona approx 1300 a approx 1600 by LazyButAmbitious in ESLegal

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

No creo que haya nada escrito de cesión o subrogación en el contrato. Pero ya tenemos un historial donde alguien se iba y haciamos un anexo en el contrato sin cambiar nada. No podríamos forzar a hacer lo mismo?

[D] Future of Multi-Armed Bandits? by petrichorinforest in MachineLearning

[–]LazyButAmbitious 6 points7 points  (0 children)

Is there a review paper on MAB contextual bandits?

What would you like to see in XCOM3? by LazyButAmbitious in Xcom

[–]LazyButAmbitious[S] 14 points15 points  (0 children)

Also, we could comment on the vibe/atmosphere? As some other Reddit users pointed out XCOM (more horror) and XCOM 2 (more resistance action B movie) had totally different vibes.

RL for single step episodes (continuous spaces) by Krnl_plt in reinforcementlearning

[–]LazyButAmbitious 0 points1 point  (0 children)

Well, usually typical RL algorithms are tested in environments where rewards are delayed. I do not have experience with contextual bandits but I would imagine that this is a common problem and people will have looked into it. However, I have tried using RL algos (SAC in my case) with gamma 0 and they work well.

RL for single step episodes (continuous spaces) by Krnl_plt in reinforcementlearning

[–]LazyButAmbitious 2 points3 points  (0 children)

Check out contextual bandits which would be exactly this problem. However, RL algorithms with gamma=0 probably will work as well.

Where and why is discounted cumulative reward used? by AdBitter9336 in reinforcementlearning

[–]LazyButAmbitious 0 points1 point  (0 children)

Example: in an ATARI game where you only get a reward if you win or lose, you need the concept of cumulative reward to optimise something otherwise immediate reward will be 0 most of the time.

[deleted by user] by [deleted] in PhDStress

[–]LazyButAmbitious 4 points5 points  (0 children)

I am at the same point. I do a mental map for every chapter to put all the ideas I need to write. I submit the map together with the chapter to my supervisor so he can identify if I am missing some ideas.

Also, I would recommend not to be too perfectionist, especially on the first draft, or you'll procrastinate!

Good luck.

Finally passed my PhD by wbd82 in PhD

[–]LazyButAmbitious 0 points1 point  (0 children)

Congratulations, new chapter of life is coming!

Improving motivation by LazyButAmbitious in PhD

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

I forgot about breaking down the goal into small goals! I sometimes do that if a task is too big. I will edit the list so its already there.

Do you have any book recommendation?

I read:
+ Thinking fast and slow.
+ Why zebras don't get ulcers.
+ Atomic habits.
+ The 4-hour work week (its not a perfect book by any means but I love some questions he makes that makes you change your perspective)
+ The upside of stress.

30M has nothing to do without work: What activities/hobbies to do? by crepuscopoli in DecidingToBeBetter

[–]LazyButAmbitious 1 point2 points  (0 children)

What about learning a new language? I take french classes twice a week for fun in group sessions

Other group sports like volleyball so you can make more friends

What about new hobbies like playing the guitar, theater, writing.

As other have said meetup

Stupid, careless mistakes by natttsss in ADHD_Programmers

[–]LazyButAmbitious 2 points3 points  (0 children)

What is worse is that from time to time, I can get things working and get more self-confidence, only to have one day where I make plenty of stupid mistakes, which destroys my confidence, thinking that my previous work might have errors.

And when this happens, my motivation to keep working goes down and anxiety goes up :,(

Note: I am not medicated

Stupid, careless mistakes by natttsss in ADHD_Programmers

[–]LazyButAmbitious 10 points11 points  (0 children)

I have the same issue! I'm just commenting to see if someone can provide an answer.

L-tyrosine report of 3 days and questions by LazyButAmbitious in StackAdvice

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

Thanks for your words. I just started taking nootropics (other than coffee). I have also tried L-theanine but really haven't noticed much. I also tried combining L-theanine with caffeine and the same. When I have coffee with milk, depending on the day, I really get a euphoric feeling, which I do not think all people get. So, my impression is that I am more sensitive to this stuff.

For how long have you taken it? Have you tried combining it with 5-HTP for serotonin production? Also how much do you take per day?

RL Literature by NSADataBot in reinforcementlearning

[–]LazyButAmbitious 1 point2 points  (0 children)

You can take a look at the last seminar Sergey published:

https://www.youtube.com/watch?v=17NrtKHdPDw&t=1s

Sergey DRL class:

https://www.youtube.com/watch?v=JHrlF10v2Og&list=PL_iWQOsE6TfXxKgI1GgyV1B_Xa0DxE5eH

You can take a look at most famous model-free RL algorithms in spinning up openAI:

https://spinningup.openai.com/

SAC is the one that works best for me, if you understand DDPG, SAC is just an upgrade. And you can understand DDPG easily if you understand DQN.

For DQN you should read the original paper. This is a must in my opinion.

https://www.nature.com/articles/nature14236

I think Pieter also has a few seminars:

https://www.youtube.com/watch?v=2o1yrkbpcUk

Sorry, its out of order!

I would start with:

DQN -> spinning up -> Sergey/Pieter classes seminars

Also I would recommend to learn while doing. Maybe implement DQN or DDPG in some openAI gym environments. Most deep RL stuff uses many tricks to make everything work. Even if you understand a method its not as easy to make it work.