Diplomacy is one of the most sophisticated activities in human society, involving complex
interactions among multiple parties that require skills in social reasoning, negotiation, and …

Abstract We introduce the Multi-Agent Tracking Environment (MATE), a novel multi-agent
environment simulates the target coverage control problems in the real world. MATE hosts …

In recent years, the field of artificial intelligence (AI) has witnessed remarkable progress and
its applications have extended to the realm of video games. The incorporation of AI in video …

Abstract Active Object Tracking (AOT) aims to maintain a specific relation between the
tracker and object (s) by autonomously controlling the motion system of a tracker given …

In active visual tracking, it is notoriously difficult when distracting objects appear, as
distractors often mislead the tracker by occluding the target or bringing a confusing …

Embodied visual tracking is to follow a target object in dynamic 3D environments using an
agent's egocentric vision. This is a vital and challenging skill for embodied agents. However …

Maximum target coverage by adjusting the orientation of distributed sensors is an important
problem in directional sensor networks (DSNs). This problem is challenging as the targets …

As one of the internet of things (IoT) use cases, wireless surveillance systems are rapidly
gaining popularity due to their easier deployability and improved performance. Videos …

In active object tracking, given a visual observation as input, the goal is to lockup the target
by autonomously adjusting camera's position and posture. Previous works on active tracking …

The development of visual tracking systems is becoming a major goal for the Robotics
community. Most of the works dealing with this topic focus exclusively on passive tracking …