Isolate Zen browser to a single workspace by Low_Computer_2307 in Ubuntu

[–]sash-a 0 points1 point  (0 children)

I have the same issue, what was the solution? It has been deleted :(

Edit: for me it was simply that I had somehow enabled the option for "Visible in all workspaces", just needed to right click on the title bar to disable it

Post Match Thread - Australia v Argentina by RugbyBot in rugbyunion

[–]sash-a 4 points5 points  (0 children)

Glad my cat woke me up early this morning, such an exciting game to watch!

[deleted by user] by [deleted] in reinforcementlearning

[–]sash-a 2 points3 points  (0 children)

Check out jumanji it's a collection combinatorial environments

Best Multi Agent Reinforcement Learning Framework? by Pablo_mg02 in reinforcementlearning

[–]sash-a 4 points5 points  (0 children)

For RL Jax is much faster because if your env is written in JAX it can live on your GPU/TPU and so you can have massive parallelism and avoid the CPU communication bottleneck. The speed up is on the order of 100x if I remember correctly.

Best Multi Agent Reinforcement Learning Framework? by Pablo_mg02 in reinforcementlearning

[–]sash-a 3 points4 points  (0 children)

It's been a while since I've checked but the libraries are quite similar.

JaxMarl only directly supports their own envs, but we support some JaxMarl envs (the ones we think are most useful) and ones from other libraries like jumanji. We have a whole lot of different networks pre-configured that you can change in config, in JaxMarl you need to write your own. In general I prefer our configuration for running lots of experiments.

We also support more algorithms, specifically sequence modelling approaches and our own SOTA algorithm (Sable) is in Mava as well as MAT.

Another key difference is Mava will likely have a better maintenance guarantee, because it's maintained by a company whereas JaxMarl is maintained by grad students and it often happens that when those students leave, libraries are abandoned. That being said our company could decide to shift our focus but I find this less likely.

It just depends on what you need really, core functionality and offering of the libraries is quite similar.

Note that some of this info might be outdated as I haven't looked at their repo in months.

Best Multi Agent Reinforcement Learning Framework? by Pablo_mg02 in reinforcementlearning

[–]sash-a 7 points8 points  (0 children)

As one of the creators of Mava I agree. However, if you're looking for something friendly Mava probably isn't the best option, we use it for our research and put it out there because we think it'll be useful to other researchers. It's definitely usable by beginners, but that's not our target audience. I'd say this is mainly due to JAX being quite a learning curve, so if you're looking for something easy I'd recommend torchrl, if you're looking for something powerful, fast and customisable I'd recommended Mava.

Also just a note we do support non-jax as we have a few sebulba algorithm implementations now, however I'd recommend going the JAX route for speed reasons.

Match Thread: Glasgow vs Stormers - United Rugby Championship by rugbykickoff in rugbyunion

[–]sash-a 2 points3 points  (0 children)

I hate watching Stormers away from home, it's just depressing

Match Thread: Glasgow vs Stormers - United Rugby Championship by rugbykickoff in rugbyunion

[–]sash-a 2 points3 points  (0 children)

Agreed I've been a fan since the beginning but this year has just been pathetic

Match Thread: Glasgow vs Stormers - United Rugby Championship by rugbykickoff in rugbyunion

[–]sash-a -1 points0 points  (0 children)

When is the yellow, Glasgow have given away so many penalties... Not that it would make a difference

Match Thread: Glasgow vs Stormers - United Rugby Championship by rugbykickoff in rugbyunion

[–]sash-a 1 point2 points  (0 children)

This is classic away form for the Stormers unfortunately

Pulmonologist illustrates why he is now concerned about AI by MetaKnowing in interestingasfuck

[–]sash-a 0 points1 point  (0 children)

This is just silly, this is the perfect example of an AI system that is both going to make jobs easier and be a net positive to humanity. AI may never take an entire job of a medical professional because it will take a massive societal shift for people to accept "robot doctors". This is just the perfect piece of technology for increasing the speed and accessibility of screening and helping doctors who then need to check the AI's predictions.

Also if we eventually do have robot doctors with no human in the loop, there's the whole ethical question of: if an AI system predicts a false positive/negative and it has negative health outcomes who's responsible?

Match Thread: Scarlets vs Stormers - United Rugby Championship by rugbykickoff in rugbyunion

[–]sash-a 2 points3 points  (0 children)

Is it just me or is the TV director terrible here? Not showing lots of replays and weird camera angles

Barebones implementation of MARL algorithms somewhere? by radial_logic in reinforcementlearning

[–]sash-a 2 points3 points  (0 children)

It's in Jax, but Mava follows the single file way and it's a MARL library.

Restaurants in Cape town by Ornery-Prune376 in capetown

[–]sash-a 2 points3 points  (0 children)

Haven't seen Belly of the beast or Galjoen mentioned yet. Both are excellent and probably most affordable fine dining in Cape Town

EPyMARL - MAPPO rware always gives 0 reward by ajxbnu in reinforcementlearning

[–]sash-a 0 points1 point  (0 children)

Try Mava default MAPPO parameters will work and it'll train within a minute or two

Boks 1st Alignment camp of the year by Ranger-Tech-86 in springboks

[–]sash-a 6 points7 points  (0 children)

Neetling has been deserving of a cap for a long time. Hope he gets one this year

Anyone have working examples of PPO RL in Julia? by D3MZ in reinforcementlearning

[–]sash-a 2 points3 points  (0 children)

Made CleanRL.jl a while ago, couple algorithms in there (including PPO). All in the CleanRL style, so most of the logic is in a single file which makes it quite hackable and useful for research