Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PEARL: Parallelized Expert-Assisted Reinforcement Learning for Scene
  Rearrangement Planning   Scene Rearrangement Planning (SRP) is an interior task proposed recently. The
previous work defines the action space of this task with handcrafted
coarse-grained actions that are inflexible to be used for transforming scene
arrangement and intractable to be deployed in practice. Additionally, this new
task lacks realistic indoor scene rearrangement data to feed popular
data-hungry learning approaches and meet the needs of quantitative evaluation.
To address these problems, we propose a fine-grained action definition for SRP
and introduce a large-scale scene rearrangement dataset. We also propose a
novel learning paradigm to efficiently train an agent through self-playing,
without any prior knowledge. The agent trained via our paradigm achieves
superior performance on the introduced dataset compared to the baseline agents.
We provide a detailed analysis of the design of our approach in our
experiments.

34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org