With recent advances in mobile robotics, autonomous systems, and artificial intelligence,
there is a growing expectation that robots are able to solve complex problems. Many of …

An approach of mobile multi-agent pursuit based on application of self-organizing feature
map (SOFM) and along with that reinforcement learning based on agent group role …

The multi-agent collaborative hunting problem is a typical problem in multi-agent
coordination and collaboration research. Aiming at the multi-agent hunting problem with …

Multi-agent coordination mechanisms are considered as important tasks planning methods
that allow the intelligent collaboration of the agents. In this paper, we propose a flexible task …

Sažetak Multi-agent coordination mechanisms are frequently used in pursuit-evasion games
with the aim of enabling the coalitions of the pursuers and unifying their individual skills to …

This study introduces a creative approach called the Hybrid Deep Reinforcement Learning
Approach (HYDREIL), which aims to improve coordination and control within the multiagent …

Multi-agent Systems (MAS) often needs to pursue a common goal and in order to achieve
that they need to make an effective formation. An approach for coalition formation of multi …

Coalition formation algorithms based on organizational modeling frameworks can be
considered as the earliest approaches applied to the Pursuit-Evasion problem. In this paper …

The coalition formation problem arises when heterogeneous agents need to be gathered in
groups in order to combine their capacities and solve an overall goal. But very often agents …

Pursuit-evasion game is a known problem in Multi-agent systems. This problem is
approached through the elaboration of different task coordination and path planning …