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Autoverse: An Evolvable Game Language for Learning Robust Embodied
  Agents

Autoverse: An Evolvable Game Language for Learning Robust Embodied Agents

5 July 2024
Sam Earle
Julian Togelius
ArXivPDFHTML

Papers citing "Autoverse: An Evolvable Game Language for Learning Robust Embodied Agents"

1 / 1 papers shown
Title
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
Michael T. Matthews
Michael Beukman
Chris Xiaoxuan Lu
Jakob Foerster
OffRL
AI4CE
36
2
0
30 Oct 2024
1