AI Learns to Exploit a Glitch in a Racing Game скачать в хорошем качестве

AI Learns to Exploit a Glitch in a Racing Game

I trained an AI in Trackmania with reinforcement learning, and tried to make it learn the hardest technique in this game: the noseboost. To support my work on Patreon: •   / yoshtm   Note: This video was re-uploaded a few hours after the original upluoad due to a copyright issue with the music Contact • Discord: yosh_tm • Twitter:  yoshtm1   • Mail: [email protected] Link to download the last map: https://tmnf.exchange/trackshow/12306053 TAS runs shown in the video: A01-Race, 17.61 by igntul & Lukalyc:    • [TAS] A01-Race in 17.61 (-6.19)   A09-Race, 21.08 by gingerroar & plastorex:    • [TAS] A09-Race: 21.08 (-2.05 TAS, -3.30 RTA)   D12-Speed, 19.94 by threadd:    • [TAS] D12-Speed 19.94 (-18.49 WR / -6.14 TAS)   Other reinforcement learning projects mentioned in the video: GT Sophy:    • The Making of Gran Turismo Sophy [English]   OpenAI Five:    • OpenAI Five: Dota Gameplay   RLGym: https://www.twitch.tv/rlgym?lang=fr Linesight:    / @linesight-rl   Thanks to Donadigo, for TMInterface! https://donadigo.com/tminterface/ The setup used in all maps to put the car on its nose was inspired by this map: https://tmnf.exchange/trackshow/9042183 On a more general note, this video would not have been possible without the passion and creativity of the TAS community, who discovered the noseboost in 2021. Special thanks to them :) More information on Trackmania TAS here:   / discord   You can find a list of the musics I used at the end of the video.