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Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm

9 July 2018

Joost Huizinga

Jeff Clune

ArXiv (abs)PDF HTML

Papers citing "Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm"

8 / 8 papers shown

Optimizing Neural Networks with Gradient Lexicase Selection

Lijie Ding

Lee Spector

256

19 Dec 2023

Voyager: An Open-Ended Embodied Agent with Large Language Models

Linxi Fan

688

1,429

25 May 2023

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgeNeural Information Processing Systems (NeurIPS), 2022

Linxi Fan

De-An Huang

774

534

17 Jun 2022

The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection

Ryan Boldi

Thomas Helmuth

Lee Spector

220

31 May 2022

Assessing Evolutionary Terrain Generation Methods for Curriculum Reinforcement LearningAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2022

340

29 Mar 2022

Meta-Learning for Symbolic Hyperparameter Defaults

Jan N. van Rijn

271

10 Jun 2021

Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods

Jeff Clune

227

25 Mar 2020

QED: using Quality-Environment-Diversity to evolve resilient robot swarmsIEEE Transactions on Evolutionary Computation (TEVC), 2020

David M. Bossens

Danesh Tarapore

153

04 Mar 2020