Nous Research’s RL Environments Hackathon recap thread!
Starting with the stars of the show, the winners!
Top 3 for the subjective track were:
1st - Pokemon Trainer - by @iyajainfinity & @AlexReibman
2nd - VR-CLImax by @JakeABoggs
3rd - DynastAI by David van Vliet and @SRacoon23
Top 3 for the objective track were:
1st - CyberMaxxing by @1999_karthik
2nd - HelpfulDoctors by @tsadpbb, Nilesh Shah, Max Phelps, and Alexander Speicher
3rd - Physical RL by @nullref0 and @venkatacrc
Another special shout out to our partners, @xai, @MistralAI, @nvidia, @tensorstax, @akashnet_, @nebiusai, @runpod_io, @daytonaio, @morph_labs, @LambdaAPI and @Tesla
As well as our many judges from @arcee_ai, @axolotl_ai, @cursor_ai, @latentspacepod, @MIT, @togethercompute, @haizelabs, @SophontAI, @EdgeAGI, @Google, specifically:
@AlpayAriyak, @winglian, Samuel Barry, @tmm1, @keirp1, @swyx, @Teknium1, @karan4d, Meghana Puvvadi, @arattml, @brianlechthaler, Josh May, Alex Gu, @gordic_aleksa, @AlpayAriyak, @eraqian, @LukePiette, Rohan Rao, @chargoddard, @LoganGrasby, @xennygrimmato_, @zhangir_azerbay, @rogershijin, @max_paperclips, @theemozilla, and Abhinav Balasubramanian
