  MOBA games, e.g., Dota2 and Honor of Kings, have been actively used as the
testbed for the recent AI research on games, and various AI systems have been
developed at the human level so far. However, these AI systems mainly focus on
how to compete with humans, less on exploring how to collaborate with humans.
To this end, this paper makes the first attempt to investigate human-agent
collaboration in MOBA games. In this paper, we propose to enable humans and
agents to collaborate through explicit communication by designing an efficient
and interpretable Meta-Command Communication-based framework, dubbed MCC, for
accomplishing effective human-agent collaboration in MOBA games. The MCC
framework consists of two pivotal modules: 1) an interpretable communication
protocol, i.e., the Meta-Command, to bridge the communication gap between
humans and agents; 2) a meta-command value estimator, i.e., the Meta-Command
Selector, to select a valuable meta-command for each agent to achieve effective
human-agent collaboration. Experimental results in Honor of Kings demonstrate
that MCC agents can collaborate reasonably well with human teammates and even
generalize to collaborate with different levels and numbers of human teammates.
Videos are available at https://sites.google.com/view/mcc-demo.

Artificial Intelligence