Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: From Few to More: Large-scale Dynamic Multiagent Curriculum Learning   A lot of efforts have been devoted to investigating how agents can learn
effectively and achieve coordination in multiagent systems. However, it is
still challenging in large-scale multiagent settings due to the complex
dynamics between the environment and agents and the explosion of state-action
space. In this paper, we design a novel Dynamic Multiagent Curriculum Learning
(DyMA-CL) to solve large-scale problems by starting from learning on a
multiagent scenario with a small size and progressively increasing the number
of agents. We propose three transfer mechanisms across curricula to accelerate
the learning process. Moreover, due to the fact that the state dimension varies
across curricula,, and existing network structures cannot be applied in such a
transfer setting since their network input sizes are fixed. Therefore, we
design a novel network structure called Dynamic Agent-number Network (DyAN) to
handle the dynamic size of the network input. Experimental results show that
DyMA-CL using DyAN greatly improves the performance of large-scale multiagent
learning compared with state-of-the-art deep reinforcement learning approaches.
We also investigate the influence of three transfer mechanisms across curricula
through extensive simulations.

3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin