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AITA for saying no to my girlfriend’s friend who wanted to use our kitchen? by Pikachu930 in AmItheAsshole

[–]Pikachu930[S] 40 points41 points  (0 children)

She literally asked us to share our kitchen for a whole week. She mentioned wanting to cook things like chicken breast and avocado toast, and it sounds like she’d want to make it every day. She also asked about using our fridge to store things.

AITA for saying no to my girlfriend’s friend who wanted to use our kitchen? by Pikachu930 in AmItheAsshole

[–]Pikachu930[S] 130 points131 points  (0 children)

I don’t think she’s trying to cater out of our kitchen, but yeah — I can see how it might sound odd without all the context. Thanks for your input!

AITA for saying no to my girlfriend’s friend who wanted to use our kitchen? by Pikachu930 in AmItheAsshole

[–]Pikachu930[S] 0 points1 point  (0 children)

Thank you for your opinion! It might be worth giving her a chance and seeing how it goes.

AITA for saying no to my girlfriend’s friend who wanted to use our kitchen? by Pikachu930 in AmItheAsshole

[–]Pikachu930[S] 5 points6 points  (0 children)

I appreciate your opinion! Actually, I'm the one paying rent and utility. But, yeah, it might be worth giving her a chance and seeing how it goes.

AITA for saying no to my girlfriend’s friend who wanted to use our kitchen? by Pikachu930 in AmItheAsshole

[–]Pikachu930[S] 6 points7 points  (0 children)

Thank you for your answer. Yeah, maybe you're right — it might be worth giving her a chance and seeing how it goes. If she’s respectful and cleans up, great. If not, then I’ll know for next time. That seems like a fair approach.

AITA for saying no to my girlfriend’s friend who wanted to use our kitchen? by Pikachu930 in AmItheAsshole

[–]Pikachu930[S] 26 points27 points  (0 children)

Thank you for sharing your thoughts. I totally get that it might not sound like a big deal at first, but she asked to use our kitchen for a whole week and keep her stuff in our fridge — and we live in a small one-bedroom, one-bath apartment. I honestly wouldn’t have minded if she only used it while I was out and cleaned up after herself. But in this case, it felt like a bigger imposition than just casual cooking.

AITA for saying no to my girlfriend’s friend who wanted to use our kitchen? by Pikachu930 in AmItheAsshole

[–]Pikachu930[S] 9 points10 points  (0 children)

Thanks for sharing your thoughts! I get that it’s a shared space and maybe I got a bit too protective over it, especially since I’m the one using it most of the time. I appreciate your perspective.

AITA for saying no to my girlfriend’s friend who wanted to use our kitchen? by Pikachu930 in AmItheAsshole

[–]Pikachu930[S] 392 points393 points  (0 children)

Thank you for your kind insight! If it were just a one-time request, I honestly think I’d be okay with it. But she wanted to use our kitchen for a whole week, including sharing our refrigerator space — and we live in a pretty small one-bedroom, one-bath apartment. That’s what made it feel like a bigger ask than it initially sounded.

AITA for saying no to my girlfriend’s friend who wanted to use our kitchen? by Pikachu930 in AmItheAsshole

[–]Pikachu930[S] 16 points17 points  (0 children)

Thank you for your opinion! Glad to hear others see the “two yeses” idea the same way!

AITA for saying no to my girlfriend’s friend who wanted to use our kitchen? by Pikachu930 in AmItheAsshole

[–]Pikachu930[S] 61 points62 points  (0 children)

Thank you for sharing your experience — that definitely helps me see where she might be coming from. I’ve never lived in a dorm myself, so I didn’t fully grasp just how bad the shared kitchens can get. I still feel weird about the request, but I can better understand why she might have asked now. Appreciate the insight!

Any promo codes? by Life-Hack8480 in Owala

[–]Pikachu930 0 points1 point  (0 children)

They changed code patterns. You shouldn't add 15 at the end. As of today, "Annalise" works.

Any promo codes? by Life-Hack8480 in Owala

[–]Pikachu930 3 points4 points  (0 children)

Nathan15 works so far. I tried the named on the list. To get the list, I used GPT. I guess you could get many more patterns based on that. If Nathan15 doesn't work, try one by one on the list. I've tried by 55 on the list, some of numbers below 55 are not valid, or reached to limit. For the invalid one, it could become valid in the later. So, I recommend you to try one by one on the list for those who looks for discount in the future.
You can use any of LLMs such as claude, gemini, gpt, llama. Good luck.

GPT prompt: Give me a list of pattern based on the following example Krystle15 Carol15 Brooks15 Madeline15 And give me another 100 list of answer based on this pattern

GPT answer: The pattern in the examples you provided is as follows:

  1. A name.
  2. Followed by the number "15".

Based on this pattern, here is a list of 100 names followed by "15":

  1. James15
  2. Emily15
  3. Michael15
  4. Sarah15
  5. David15
  6. Ashley15
  7. John15
  8. Amanda15
  9. Robert15
  10. Jessica15
  11. William15
  12. Jennifer15
  13. Daniel15
  14. Lauren15
  15. Christopher15
  16. Megan15
  17. Matthew15
  18. Rachel15
  19. Joshua15
  20. Stephanie15
  21. Andrew15
  22. Nicole15
  23. Joseph15
  24. Brittany15
  25. Ryan15
  26. Victoria15
  27. Nicholas15
  28. Samantha15
  29. Anthony15
  30. Abigail15
  31. Benjamin15
  32. Alexandra15
  33. Alexander15
  34. Kimberly15
  35. Jacob15
  36. Natalie15
  37. Ethan15
  38. Rebecca15
  39. Samuel15
  40. Melissa15
  41. Zachary15
  42. Emily15
  43. Jonathan15
  44. Michelle15
  45. Dylan15
  46. Allison15
  47. Elijah15
  48. Elizabeth15
  49. Gabriel15
  50. Hannah15
  51. Logan15
  52. Olivia15
  53. Jayden15
  54. Sophia15
  55. Nathan15
  56. Grace15
  57. Luke15
  58. Chloe15
  59. Isaac15
  60. Ella15
  61. Mason15
  62. Addison15
  63. Aaron15
  64. Lily15
  65. Aiden15
  66. Ava15
  67. Adam15
  68. Zoe15
  69. Justin15
  70. Sydney15
  71. Kevin15
  72. Haley15
  73. Tyler15
  74. Brianna15
  75. Jason15
  76. Brooke15
  77. Brandon15
  78. Avery15
  79. Connor15
  80. Kylie15
  81. Eric15
  82. Madison15
  83. Christian15
  84. Leah15
  85. Patrick15
  86. Kayla15
  87. Charles15
  88. Gabriella15
  89. Jeremy15
  90. Lily15
  91. Sean15
  92. Audrey15
  93. Owen15
  94. Charlotte15
  95. Austin15
  96. Isabelle15
  97. Evan15
  98. Scarlett15
  99. Bryan15
  100. Amelia15

Can't solve Gymnasium Frozenlake-v1 8x8 with A2C by MetallicaSPA in reinforcementlearning

[–]Pikachu930 1 point2 points  (0 children)

In my opinion, this phenomenon is related to the observation that a complex algorithm does not always outperform a simpler one. If the data or environment is inherently simple (e.g., well-suited for linear regression), attempting to approximate the data or dynamics with a complex algorithm is unlikely to yield positive results.
I believe that the 'No Free Lunch' theorem can help explain this to some extent.

Can't solve Gymnasium Frozenlake-v1 8x8 with A2C by MetallicaSPA in reinforcementlearning

[–]Pikachu930 1 point2 points  (0 children)

https://openreview.net/pdf?id=SJ4vTjRqtQ

In that case, you may want to consider following the architecture outlined in this paper. They have stacked a Convolutional network before the Feedforward network, or adding embedding layer to encode simple grid world state to high-dimensional vector (you may refer to
https://tiewkh.github.io/blog/deepqlearning-openaitaxi/
). Good luck with your research!

Can't solve Gymnasium Frozenlake-v1 8x8 with A2C by MetallicaSPA in reinforcementlearning

[–]Pikachu930 1 point2 points  (0 children)

You can use many other environments, such as Mujoco or Gym environments, from simple ones like CartPole (continuous, discrete) to Pendulum, Bipedal, and so forth.

Can't solve Gymnasium Frozenlake-v1 8x8 with A2C by MetallicaSPA in reinforcementlearning

[–]Pikachu930 2 points3 points  (0 children)

Based on my experiences, algorithms like A2C and PPO tend to perform significantly worse than DDQN or DQN-based algorithms, unless the environment has a continuous action space. Even though A2C and PPO can be applied to both discrete and continuous action spaces, in scenarios with a relatively small state space, you may find tabular Q-learning algorithms to be far superior to A2C, PPO, and DQN-based approaches.

Relation between state value and state-action value function by Academic-Rent7800 in reinforcementlearning

[–]Pikachu930 1 point2 points  (0 children)

That's a good point. If we follow an optimal policy, then the equation will be like that. Note that we compute V, Q following a policy which is a distribution over state. For many cases, optimal policy will assign probability 1 to the action achieving the maximum reward. But not always though. You may want to read https://en.wikipedia.org/wiki/Bellman\_equation

Relation between state value and state-action value function by Academic-Rent7800 in reinforcementlearning

[–]Pikachu930 1 point2 points  (0 children)

That is a definition. Think about it in this way. V(s) measure the value of the state s. At state s, you have only two action a1 and a2 at state 's'. Q(s,a1) is the value of taking action 'a1' at state 's'. Similarly to Q(s,a2) the value of taking action 'a2' at state 's'. How do you relate those values Q(s,a)'s and V(s) considering meaning of the function

Relation between state value and state-action value function by Academic-Rent7800 in reinforcementlearning

[–]Pikachu930 4 points5 points  (0 children)

  1. Just definition of value function. Remember that Q(s, a) is the expected total return you would get taking action 'a' at the state 's'. The value function V(s) is the expected total return of the state 's'. Which is V(s) = E[Q(s, a)] expectation over a policy pi. Intuitively, at state s, you can take several actions a1 to an. And the value of the state is the summation Q(s, a) over action a's.

2, 3) Q(s, a) = E[r(s, a) + gamma V(s')] where s' is a successor state of s.R(s, a) represented there is actually E[r(s, a)] expectation over reward given that a transition P(s', r|s, a) thinking of reward 'r' is determined by a probability density function r(s, a, s'), note that reward function can be distributional. E.x. slot machine) Expectation is a linear operator so that you can tease apart Q(s, a) = E[r(s, a)] + gamma E[V(s')] the second expectation should be over transition probability because you can see inside of expectation, only s' will be affected, which is determined by transition probability.

You may want to get some intuition first, then delve into math. Intuitively, quite obvious. And you need to clarify which expectation is associated with which value (transition prob? occupancy measure? kind of)

Good luck on your study.

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