Crucial real-world problems in robotics like trajectory planning during convoy missions and
autonomous rescue missions can be framed as a confinement escape problem (CEP)(a type …

Abstract Applying Deep Reinforcement Learning (DRL) technologies to Unmanned Aerial
Vehicle (UAV) electronic reconnaissance is one of the current research hotspots. However …

This paper studies a multiplayer reach-avoid differential game in the presence of general
polygonal obstacles that block the players' motions. The pursuers cooperate to protect a …

The authors propose a new approach to generating control strategies in the problem of
approach of conflict-controlled objects. Modifications of the first direct method are developed …

The problem of approach of controlled objects with different inertia in dynamic game
problems is considered. For such controlled objects, it is characteristic that the Pontryagin …

This paper investigates a variation of the reach-avoid game, a multi-agent pursuit and
evasion scenario applicable to aerial defense, with faster evaders. Using Deep …

This paper investigates multi-player reach-avoid differential games with non-point capture
scenarios. The objective of the attackers' team is to reach a specific edge of the game …

Розглянуто проблему зближення керованих обmектів з різною інерційністю в ігрових
задачах динаміки. Для таких керованих обmектів характерним е невиконання умови …

Запропоновано новий підхід до формування стратегій керування в проблемі зближення
конфліктноrкерованих обmектів. Розроблено модифікаці¿ першого прямого меr тоду …