In this thesis I worked on creating, comparing and improving algorithms for multi-agent path planning on a domain typical for real-time strategy games. I implemented and compared Multiagent pathfinding using clearance and Multiagent pathfinding using independence detection and operator decomposition. I discovered that they had problems maintaining group compactness and took too long to calculate the path. I considerably improved the efficiency of both algorithms
Multi-agent pathfinding is a challenging combinatorial problem that involves multiple agents moving ...
In most real-time strategy (RTS) games the problem of finding the shortest path for multiple units i...
In this work we present the problem of multi-agent path-finding with dynamic obstacles, a generalisa...
In this thesis I worked on creating, comparing and improving algorithms for multi-agent path plannin...
The thesis deals with the Multi-Agent Path Finding problem. The task is to find for each agent a pat...
Multiagent path finding is the problem of finding paths for a set of agents-one for each agent-in a ...
Multi-Agent Path Finding algorithm has become a topic that has been actively researched in the field...
This paper proposes a performance optimization for search-based path-planning simulations with the a...
In the field of cooperative multi-agent pathfinding (MAPF) the optimal set of non-conflicting paths ...
To solve the multi-agent pathfinding (MAPF) problem, a collision-free path must be found for every i...
The multi-agent path finding (MAPF) problem is a generalization of the single-agent path finding pro...
Multi-agent path planning is a challenging problem with numerous real-life applications. Running a c...
Multiagent path planning is important in a variety of fields, ranging from games to robotics and war...
Path planning is a crucial issue in unknown environments where an autonomous mobile agent has to rea...
Multi-Agent Path Finding (MAPF) is a fundamental problem of planning paths for multi-agents where th...
Multi-agent pathfinding is a challenging combinatorial problem that involves multiple agents moving ...
In most real-time strategy (RTS) games the problem of finding the shortest path for multiple units i...
In this work we present the problem of multi-agent path-finding with dynamic obstacles, a generalisa...
In this thesis I worked on creating, comparing and improving algorithms for multi-agent path plannin...
The thesis deals with the Multi-Agent Path Finding problem. The task is to find for each agent a pat...
Multiagent path finding is the problem of finding paths for a set of agents-one for each agent-in a ...
Multi-Agent Path Finding algorithm has become a topic that has been actively researched in the field...
This paper proposes a performance optimization for search-based path-planning simulations with the a...
In the field of cooperative multi-agent pathfinding (MAPF) the optimal set of non-conflicting paths ...
To solve the multi-agent pathfinding (MAPF) problem, a collision-free path must be found for every i...
The multi-agent path finding (MAPF) problem is a generalization of the single-agent path finding pro...
Multi-agent path planning is a challenging problem with numerous real-life applications. Running a c...
Multiagent path planning is important in a variety of fields, ranging from games to robotics and war...
Path planning is a crucial issue in unknown environments where an autonomous mobile agent has to rea...
Multi-Agent Path Finding (MAPF) is a fundamental problem of planning paths for multi-agents where th...
Multi-agent pathfinding is a challenging combinatorial problem that involves multiple agents moving ...
In most real-time strategy (RTS) games the problem of finding the shortest path for multiple units i...
In this work we present the problem of multi-agent path-finding with dynamic obstacles, a generalisa...