1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
cs.NE2020
Co-generation of game levels and game-playing agents
Aaron Dharna, Julian Togelius, L. B. Soros
Open-endedness, primarily studied in the context of artificial life, is the ability of systems to generate potentially unbounded ontologies of increasing novelty and complexity. En…