Page: www.llama.com/llama2/

Homepage: www.llama.com/

Not-for profit that took up OpenAI Gym maintenance after OpenAI dropped it.

It would be cool if they maintained their own list!

github.com/DLR-RM/rl-baselines3-zoo seems to contain some implementations.

Suggested at: github.com/Farama-Foundation/Gymnasium/discussions/1331

OpenAI Gym development by OpenAI ceased in 2021, and the Farama Foundation not for profit took up maintenance of it.

gymnasium==1.1.1 just worked on Ubuntu 24.10 testing with the hello world gym/random_control.py:just works and opens a game window on my desktop.

This example just passes random commands to the ship so don't expect wonders. The cool thing about it though is that you can open any environment with it e.g.

To manually control it we can use gym/moon_play.py:

Manual control is extremely useful to get an intuition about the problem. You will notice immediately that controlling the ship is extremely difficult.

We slow it down to 10 FPS to give us some fighting chance.

We don't know if it is realistic, but what is certain is that this is definitely not designed to be a fun video game!A good strategy is to land anywhere very slowly and then inch yourself towards the landing pad.

The documentation for it is available at: gymnasium.farama.org/environments/box2d/lunar_lander/ The agent input is described as:so it is a fundamentally flawed robot training example as global x and y coordinates are precisely known.

Variation in the scenario comes from:

The actions are documented at:so we can make it spin like mad counter clockwise with:

To actually play the games manually with keyboard, you need to define your own keybindings with gymnasium.utils.play.play. Feature request for default keybindings: github.com/Farama-Foundation/Gymnasium/discussions/1330

There is no C API, you have to go through Python: github.com/Farama-Foundation/Gymnasium/discussions/1181. Shame.

They have video recording support, minimal ex stackoverflow.com/questions/77042526/how-to-record-and-save-video-of-gym-environment/79514542#79514542

Announced at:

Official page: www.nvidia.com/en-gb/data-center/products/a10-gpu/

TODO can they do historical reverse IP or not? I.e. determine which domains were hosted on a given IP at a given date in the past?

Very curiously, their reverse IP search appears to be somewhat broken, or not to be historic, e.g.We've contacted viewdns.info support and they replied:This is likely not accurate, more precisely it likely only works if it was the last IP address, not necessarily a current one.

Bibliography:

This section is about Nvidia GPUs that are focused on compute rather than rendering.

Until 2020 these were branded as Nvidia Tesla, but then Nvidia dropped that brand due to confusion with the Tesla Inc. the car maker.^[ref].

This is the most accessible DNS database online, as it does not require login or payment.

They have reasonable data. It's not fully complete as Ciro Santilli saw on CIA 2010 covert communication websites, but it is very valuable.

Tested as of 2025, they seem to have removed the pre-IP checks on web interface, and just instead use Cloudfare to check that you are human from time to time, which allows for a lot manual searching to be done! Awesome!

Previously, tou could only get about 250 queries on the web interface, then 250 queries per free account via API. They check your IP when you signup, and you can't sign in twice from the same IP. They also state that Tor addresses are blacklisted. They also normalize dots in gmail addresses, so you need more diverse email accounts. But they haven't covered the .gmail vs .googlemail trick.

Their data is also quite disjoint from the data of the 2013 DNS Census. There is some overlap, but clearly their methodology is very different. Some times they slot into one another almost perfectly.

TODO is their database amazing?

TODO do they offer historical reverse IP?

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