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@Ramo

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Since 06.06.2026

I got tired of bubble charts I couldn't customize, so I built one where you can restyle everything (free, no login)(reddit.com)
Bubble charts aren't new, cryptobubbles has been around forever and it's genuinely good. Two things always bugged me though: you can't change how it looks, and it only ever shows the whole market, never your coins. So I built one into the tracker I work on. Bubbles sized by price change, market cap or volume, timeframes from 1H to 1Y, and you pick how many assets are on screen. There's a theme system if the default look isn't yours, and besides the market view you can load your own portfolio or watchlist as the bubbles, which is the part I actually use. Physics is d3-force, so they drift and collide for real instead of looping a canned animation. https://mantapex.com/visualization I work on Mantapex, so read this with the appropriate suspicion. The market view is free and needs no account, that's what the link opens. Portfolio and watchlist modes do need one, since it has to know what you hold. And if all you want is a quick look at the whole market, cryptobubbles honestly does that fine too. Curious which theme people end up on. The default is called Big Blue but I keep switching to Asteroids. submitted by /u/Drakuf [link] [Kommentare]
On Adversarial RL [R](reddit.com)
Zhang et al. paper's introducing the SA-MDP framework (2020) (state adversarial MDP) argues that an attack using the critic network (V(s)) is expected and supposed to produce a weaker attack than an attack using the actor network (pi(s)) itself to generate perturbation on agent observations. A claim supported by their empirical results using different single-agent simulation environment. However, I'm consistently finding the opposite when comparing both attacks on multi-agent PPO policies trained on some scenarios from the VMAS library. Policies are IPPO (Independent PPO, to not confuse with MAPPO) and GPPO (Graph Independent PPO, see Bettini et al. 2023 arxiv) with their heterogeneous versions. The PGD attack is adapted to continuous policies using the KL divergence closed form. Am I doing something wrong or this is actually something that doesn't contradicts Zhang et al's findings given the difference of the context? submitted by /u/ham_bam0 [link] [Kommentare]
Meet LitlMan .(reddit.com)
Hello, my name is Noah , I’m 14 years old and I’ve been building this humanoid robot from scratch. I designed the parts in CAD, 3D printed them, assembled the servos, and now I’m working on the software and walking algorithms/ gaits . It’s powered by a Raspberry Pi and uses multiple servo motors for its joints. There’s still plenty to improve, but seeing it come together has been really rewarding. I have posted it on TikTok and Instagram under the name of NoahisRobotix , but have not been that successful so far.. I’d love to hear what you think or answer any questions! submitted by /u/Equivalent_Ask_1156 [link] [Kommentare]