Finding the optimal game strategy is a difficult problem in unmanned aerial vehicle (UAV)
swarm confrontation. As an effective solution to the sequential decision-making problem …

With the development of unmanned aerial vehicle (UAV) technology, UAV swarm
confrontation has attracted many researchers' attention. However, the situation faced by the …

In large-scale multi-agent environments with homogeneous agents, most works provided
approximation methods to simplify the interaction among agents. In this work, we propose a …

Multi-agent combat is a combat scenario in multiagent reinforcement learning (MARL). In
this combat, agents use reinforcement learning methods to learn optimal policies. Actually …

Coordination, ie, multiple autonomous agents in a system to achieve a common goal, is
critical for distributed systems since it can increase the overall reward among all agents …