activity
20132023
most citedLearning to Continually Learn

69 citations · 213 across the 13 of their papers we have counts for

collaborators

13 papers

cs.NE2023★ 1 cited

Many-objective Optimization via Voting for Elites

Jackson Dean, Nick Cheney

Real-world problems are often comprised of many objectives and require solutions that carefully trade-off between them. Current approaches to many-objective optimization often requ…

q-bio.PE2023★ 2 cited

Coping with seasons: evolutionary dynamics of gene networks in a changing environment

Csenge Petak, Lapo Frati, Melissa H. Pespeni +1

In environments that vary frequently and unpredictably, bet-hedgers can overtake the population. Diversifying bet-hedgers have a diverse set of offspring so that, no matter the con…

cs.RO2023★ 13 cited

Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots

Alican Mertan, Nick Cheney

Soft robotics is a rapidly growing area of robotics research that would benefit greatly from design automation, given the challenges of manually engineering complex, compliant, and…

cs.LG2021

Continual learning under domain transfer with sparse synaptic bursting

Shawn L. Beaulieu, Jeff Clune, Nick Cheney

Existing machines are functionally specific tools that were made for easy prediction and control. Tomorrow's machines may be closer to biological systems in their mutability, resil…

cs.LG2020★ 69 cited

Learning to Continually Learn

Shawn Beaulieu, Lapo Frati, Thomas Miconi +4

Continual lifelong learning requires an agent or model to learn many sequentially ordered tasks, building on previous knowledge without catastrophically forgetting it. Much work ha…

cs.LG2019

Embodiment dictates learnability in neural controllers

Joshua Powers, Ryan Grindle, Sam Kriegman +3

Catastrophic forgetting continues to severely restrict the learnability of controllers suitable for multiple task environments. Efforts to combat catastrophic forgetting reported i…