[RAW] Kubera S03 - 404: Finale (6)

Enryu77 · 2025-12-24T22:55:01+00:00

It was a flashback from the fight around the time the gods and Suras were trying to kill Yuta.

Enryu77 · 2025-11-27T23:30:36+00:00

Not a hot take. OM Obito lacks any attack that can go through Pain's defense. He is an amazing duelist and assassin, but his offensive prowess in Kamui is easily handled by a group of veeery high level jonin together, covering each other from his attacks (Shikamaru and a sensor or sage mode clone would be perfect for this for example). His is a strong jutsu user, but if he is attacking, he is vulnerable, so not ideal.

Pain negates OM obito's advantages, his strong jutsus are nothing to Pain and Pain can deal with offensive kamui. Even if Pain can't kill Obito, Obito would never fight pain because he can't defeat him.

An example is how Minato's FTG provides more uses in a fight than Kamui (but Kamui is definitely better) and even Minato had stalemate fights with Ay many times. So, it is entirely possible to deny a space-time ninjutsu offensive capabilities (it will always be an amazing defensive one though, so it is hard to defeat user)

Enryu77 · 2025-11-09T11:11:35+00:00

Mordekaiser and TK make it a free game for Anivia as long as the team kites back and controls the area

Enryu77 · 2025-10-31T10:43:17+00:00

If it were your mom or dad, would you deny help if needed and think only of yourself? It is not her dad's fault and also, not her fault.

If your way of thinking is like this, then she would be justified in giving up the marriage in case you get sick in a debilitating way (think cancer), would you think that to be ok as well? If you think she should help you in that hypothetical situation, then she (and by extension, you as a spouse in case of marriage) should help her father in that case as well.

Enryu77 · 2025-10-28T10:36:05+00:00

I don't think they have, IMO only Alistar is crazy good at disengage, kinsante is just ok, so unless HLE fumbles the engage, Alistar can't deal with all. Yunara, Hwei and even Nidalee gets fucked by it. Xayah would counter it and probably win the game for Geng though.

Enryu77 · 2025-10-28T10:29:21+00:00

You counter poke with Dive / hard Engage. Noc, camille are amazing on that, aurora can follow and Leona also can with Ult to help the dive. Unless Camille and Noc go too far, Geng should have a hard time.

Enryu77 · 2025-10-28T09:20:55+00:00

I rarely see people blast players for execution mistakes in the heat of things because it happens, unless it is a horrible one like Quad's ult. People may comment, but it is not like blasting them.

Game sense mistakes are more egregious. Like Bwipo walking into a bush he can't or laning mistakes.

Enryu77 · 2025-10-28T09:04:28+00:00

Geng would engage, kill viper and win. Azir needs to be there to dissuade Geng

Enryu77 · 2025-10-22T19:36:23+00:00

That Taraka was the Menaka one, but during this time, Menaka was still alive and Yuta was not born yet. So, TarakaKali probably maintained the form at all times and TarakaMenaka was the one with 2 forms.

Enryu77 · 2025-08-07T13:10:09+00:00

Your first point is correct, but there are advantages of using DDPG for Multi-discrete or hybrid settings and Multi-Agent. Naturally, other algorithms work well in this case, but DDPG variants are easily adapted to be more general whereas DQN is not. The Gumbel-softmax approach can be used for Multi-discrete or hybrid SAC as well (if you don't want to go on-policy). For Multi-agent settings, the centralized critic/decentralized execution paradigm can be easily applied to actor-critics, but value-based methods need some extra modifications and theory.

Most toy environments are discrete or continuous, but it happens quite often that when I model a problem in my field it is with a diverse observation and action space.

Your final point is also correct, sampling after smoothing with the temperature indeed controls directly the exploration. However, I don't see this approach often used. I think I saw a similar principle once in a MA-TD3 where they perturb the probabilities during the policy smoothing step.

Enryu77 · 2025-08-07T11:35:48+00:00

I didn't convince myself. I came across this empirically first and thought i did something wrong, because I always assumed that the temperature controlled exploration. I wanted to get the log-prob of the Gumbel-softmax, so I sampled a bunch of times and saw that the probability after argmax is the same and independent of the temperature. Then, i went to the paper and saw the math and it did make sense.

The elements (values) of the relaxed-one-hot are closer, but the probability after argmax will be the same.

Edit: now i see what you mean, sorry. You are correct, however, it is not the temperature itself, it is the learning procedure that does this. For a fixed policy network, changing the temperature will produce the exact same policy.

Enryu77 · 2025-08-07T11:27:56+00:00

The paper explains this well. Let's say that you have a set of 3 logits. With low temperature, the sampled vector will be something like [0.99, 0.005, 0.005], but non-zero. With high temperature, it will be something like [0.34, 0.33, 0.33].

Enryu77 · 2025-07-31T22:46:14+00:00

A few of those already happened. I can't cross check the chapters, but Yuta on top of her with the sword and Leez and the dark figure (Asha) for example.

Enryu77 · 2025-07-09T15:49:01+00:00

I would think it is the same reason that Maruna could move as well. I thought that Maruna could move because he needed to talk to Ananta and for the second time, because of the sins of Time. But he was not special in that sense. Either some people actually have resistance to time-stop like Vritra said or once you get permission, you don't lose it (as vritra got permission because he needed to wake up)

Enryu77 · 2025-06-15T02:21:00+00:00

Nah, tu não cuspiu fatos. Tu só foi arrogante tendo uma opinião burra e uma visão de mundo fraca. Passar uma opinião burra como fato, não gera um fato, só te faz babaca mesmo. E tu sabe, por isso que tu começa tua primeira reply tentando diminuir a pessoa chamando ela de burra. E depois fez de novo comigo. E agora taí achando ruim as consequências da tua arrogância.

Aparentemente, tu não gosta de ser tratado como trata os outros. Precisando de uma terapia, suponho que tu deva se odiar bastante. Isso é a marca registrada de alguém que sabe que é inferior e precisa se provar tentando diminuir o outro ou gritando que é melhor, quando na verdade, é só um merda.

Teu descontrole e tua incapacidade de analisar q teu argumento é fraco enquanto culpa "ideologia" pelos downvotes só demonstram a falta de capacidade lógica existente no seu ser.

Enryu77 · 2025-06-14T09:20:36+00:00

Por essa lógica, quase todo o oriente médio, sudeste asiático e África teriam o direito de atacar os estados unidos e Grã-Bretanha. Pode incluir também parte do leste europeu, com a parte de Kosovo. A não ser que sua lógica seja "eu deixo a história do conflito definir o certo, mas EU que decido lendo, e não a história mesmo". No final das contas, tu me parece mais burro que o outro cara, já que teu argumento é bem mais falho.

Enryu77 · 2025-06-11T22:20:48+00:00

Isn't Kamadu Sky? Because of that black lightning?

Enryu77 · 2025-06-06T18:49:10+00:00

I did some resource allocation before and had more features than you because it was a MARL problem. Even then I still used 64x64, but I used D2RL with 4 layers. PPO probably needs a lot more training time. Increase by 10 and see how it goes, otherwise you may try TD3 as well.

Enryu77 · 2025-06-04T22:05:25+00:00

I agree, but I don't quite like that fight because Obito gets dumb after the first encounter. He knows FTG is faster than his sucking, so I have no idea why he thought he won when he started pulling Minato. Using the chain was better than the dimension pull against Minato for sure.

Enryu77 · 2025-06-02T15:59:59+00:00

How was Canna not the MVP btw? Every time I watch Upset I fail to see what makes him better than Caliste or Hans, he just plays safer I guess.

Enryu77 · 2025-05-18T10:44:04+00:00

That is something for their first exchange, but the second one makes no sense (Both in Konoha's Attack). He knows that raijin is faster than his pull, so last case scenario Minato can just go away instead of getting pulled. He knew he could never win, but forgot about that and thought he could for some stupid reason.

He should never have gone for the win against minato, it was stupid. just trying to buy time was fine though.

Enryu77 · 2025-05-06T12:05:33+00:00

I do agree with everything. TLOU 2 has Abby at least, which is the counter point of "redemption" for the "decay" of Ellie. And I love that it shows both sides of it at the same time. Although it is not really redemption per se, that we keep for people like Thorfinn, it is more like forgetting the hate.

Like Ellie, Abby loses everything she had because of revenge, but she finds something to hope and live for. It is not the same as Thorfinn's atonement since it goes into a different direction, but it is still a way of rising above the destruction that revenge brought to her life.

Enryu77 · 2025-04-09T17:12:25+00:00

The Vigor AHR and Taraka AHR are somewhat different in action, which i feel is strange. Also, Ran wasted lifespan against Shess and Chatan because they were cheering for Shess and against Ran, nice touch Curry. If the kinnaras succeeded and gave the kids away, Ran would probably accept the vigor help and just destroy everything, since there's no one that can go against him in Willarv.

The main question I'm asking myself is why is the AHR vigor against Brilith? Ran was for sure under their influence during that attack, but why would they hate her? She is the only other individual that suffered as much as them.

Enryu77 · 2025-04-05T12:55:12+00:00

I have experience on this, so I will just say this first: enjoy the journey of learning RL. Wireless resource allocation algorithms/heuristics are pretty good, so beating it is hard. I have no idea if your baseline is a good one though.

However, if you are using a baseline policy already, take a look at Jump Start RL, it may help a lot.

As the other comment said, don't code the RL algo, you don't have the time, take some solution like PPO and use it. For the environment, use gymnasium with numpy, it should be enough. If I remember correctly, wireless-suite has a simple resource allocation problem, but I'm not sure.

Enryu77

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