Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fusing Interpretable Knowledge of Neural Network Learning Agents For
  Swarm-Guidance   Neural-based learning agents make decisions using internal artificial neural
networks. In certain situations, it becomes pertinent that this knowledge is
re-interpreted in a friendly form to both the human and the machine. These
situations include: when agents are required to communicate the knowledge they
learn to each other in a transparent way in the presence of an external human
observer, in human-machine teaming settings where humans and machines need to
collaborate on a task, or where there is a requirement to verify the knowledge
exchanged between the agents. We propose an interpretable knowledge fusion
framework suited for neural-based learning agents, and propose a Priority on
Weak State Areas (PoWSA) retraining technique. We first test the proposed
framework on a synthetic binary classification task before evaluating it on a
shepherding-based multi-agent swarm guidance task. Results demonstrate that the
proposed framework increases the success rate on the swarm-guidance environment
by 11% and better stability in return for a modest increase in computational
cost of 14.5% to achieve interpretability. Moreover, the framework presents the
knowledge learnt by an agent in a human-friendly representation, leading to a
better descriptive visual representation of an agent's knowledge.

37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph