Training generally capable agents that perform well in unseen dynamic
en...
With the rapid progress in Multi-Agent Path Finding (MAPF), researchers ...
As human-robot interaction (HRI) systems advance, so does the difficulty...
Recent years have seen a rise in the popularity of quality diversity (QD...
Pre-training a diverse set of robot controllers in simulation has enable...
We present a method for generating arrangements of indoor furniture from...
Recent progress in reinforcement learning (RL) has started producing
gen...
Single-objective optimization algorithms search for the single
highest-q...
Consider a walking agent that must adapt to damage. To approach this tas...
We study the problem of efficiently generating high-quality and diverse
...
We present a method of generating a collection of neural cellular automa...
When studying robots collaborating with humans, much of the focus has be...
Quality diversity (QD) is a growing branch of stochastic optimization
re...
Recent advancements in procedural content generation via machine learnin...
Recent developments in machine learning techniques have allowed automati...
Quality Diversity (QD) algorithms like Novelty Search with Local Competi...
Balancing an ever growing strategic game of high complexity, such as
Hea...
Quality diversity (QD) algorithms such as MAP-Elites have emerged as a
p...