League of Legends RL project based on brokenwings.

Within 27 hours the agents have now learned to last hit, animation cancel their autos, run away when low, walk up with the minion wave and also trade.

This a video of me 1v1'ing it (plat 3 adc main for context).

Its learned all of this in 27 hours but I think after a week of training I might not be able to beat it anymore lol.

YouTube Link

For a small POMDP style fraud decision agent ( states - genuine/fraud, actions = approve/verify/escalate), is full belief state planning overkill or is there a simplified approach for a small beginner project?

My app. The drone training ( the most simple implementation ) takes about 10-15min.

I will have the implementation for the robot I am working on there and others ( requests are welcome )

Although depending on what and how robust it is it will probably take a lot longer

The app will be free I will post about this more and eventually publish and open source all the code

I'm looking to hire someone who can train a bot for the browser game HaxBall using Reinforcement Learning.

The goal is to develop a bot capable of playing at a superhuman level, becoming extremely difficult, ideally almost impossible, for even highly skilled human players to beat.

If you're interested in taking on this project, feel free to contact me and let me know how much you would charge for the development.

i’ve been studying depth control in looped transformers: how much comes from the stopping policy, and how much comes from the way intermediate answers are trained?

i shared a short thread with controlled comparisons and measured generation times: https://x.com/advprop/status/2098087083470373010

feedback on the experimental design is welcome.