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cs.AI2022★ 1 cited
Watts: Infrastructure for Open-Ended Learning
Aaron Dharna, Charlie Summers, Rohin Dasari +2
This paper proposes a framework called Watts for implementing, comparing, and recombining open-ended learning (OEL) algorithms. Motivated by modularity and algorithmic flexibility,…
cs.AI2022
Transfer Dynamics in Emergent Evolutionary Curricula
Aaron Dharna, Amy K Hoover, Julian Togelius +1
PINSKY is a system for open-ended learning through neuroevolution in game-based domains. It builds on the Paired Open-Ended Trailblazer (POET) system, which originally explored lea…