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Evolvability ES: Scalable and Direct Optimization of Evolvability

Evolvability ES: Scalable and Direct Optimization of Evolvability

13 July 2019
A. Gajewski
Jeff Clune
Kenneth O. Stanley
Joel Lehman
ArXivPDFHTML

Papers citing "Evolvability ES: Scalable and Direct Optimization of Evolvability"

7 / 7 papers shown
Title
Biomaker CA: a Biome Maker project using Cellular Automata
Biomaker CA: a Biome Maker project using Cellular Automata
E. Randazzo
A. Mordvintsev
VGen
33
5
0
18 Jul 2023
Transfer Dynamics in Emergent Evolutionary Curricula
Transfer Dynamics in Emergent Evolutionary Curricula
Aaron Dharna
Amy K. Hoover
Julian Togelius
Lisa Soros
27
6
0
03 Mar 2022
Evolving Curricula with Regret-Based Environment Design
Evolving Curricula with Regret-Based Environment Design
Jack Parker-Holder
Minqi Jiang
Michael Dennis
Mikayel Samvelyan
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
31
116
0
02 Mar 2022
Simple Genetic Operators are Universal Approximators of Probability
  Distributions (and other Advantages of Expressive Encodings)
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings)
Elliot Meyerson
Xin Qiu
Risto Miikkulainen
19
4
0
19 Feb 2022
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
60
54
0
28 Sep 2021
Scaling MAP-Elites to Deep Neuroevolution
Scaling MAP-Elites to Deep Neuroevolution
Cédric Colas
Joost Huizinga
Vashisht Madhavan
Jeff Clune
27
86
0
03 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
332
11,684
0
09 Mar 2017
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