Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-Goal Reinforcement Learning: Challenging Robotics Environments and
  Request for Research   The purpose of this technical report is two-fold. First of all, it introduces
a suite of challenging continuous control tasks (integrated with OpenAI Gym)
based on currently existing robotics hardware. The tasks include pushing,
sliding and pick & place with a Fetch robotic arm as well as in-hand object
manipulation with a Shadow Dexterous Hand. All tasks have sparse binary rewards
and follow a Multi-Goal Reinforcement Learning (RL) framework in which an agent
is told what to do using an additional input.
  The second part of the paper presents a set of concrete research ideas for
improving RL algorithms, most of which are related to Multi-Goal RL and
Hindsight Experience Replay.

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The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex