Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Quality Diversity for Multi-task Optimization   Quality Diversity (QD) algorithms are a recent family of optimization
algorithms that search for a large set of diverse but high-performing
solutions. In some specific situations, they can solve multiple tasks at once.
For instance, they can find the joint positions required for a robotic arm to
reach a set of points, which can also be solved by running a classic optimizer
for each target point. However, they cannot solve multiple tasks when the
fitness needs to be evaluated independently for each task (e.g., optimizing
policies to grasp many different objects). In this paper, we propose an
extension of the MAP-Elites algorithm, called Multi-task MAP-Elites, that
solves multiple tasks when the fitness function depends on the task. We
evaluate it on a simulated parameterized planar arm (10-dimensional search
space; 5000 tasks) and on a simulated 6-legged robot with legs of different
lengths (36-dimensional search space; 2000 tasks). The results show that in
both cases our algorithm outperforms the optimization of each task separately
with the CMA-ES algorithm.

37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
26
The categories of this paper are: bayes-an
16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph