Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Human and Multi-Agent collaboration in a human-MARL teaming framework   Reinforcement learning provides effective results with agents learning from
their observations, received rewards, and internal interactions between agents.
This study proposes a new open-source MARL framework, called COGMENT, to
efficiently leverage human and agent interactions as a source of learning. We
demonstrate these innovations by using a designed real-time environment with
unmanned aerial vehicles driven by RL agents, collaborating with a human. The
results of this study show that the proposed collaborative paradigm and the
open-source framework leads to significant reductions in both human effort and
exploration costs.

0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
6
The categories of this paper are: astro-ph
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph