Through the use of autonomy Unmanned Aerial Vehicles (UAVs) can be used to solve a range of of multi-agent problems that exist in the real world, for example search and rescue or surveillance. Within these scenarios the global objective might often …
Modelling and planning as well as Machine Learning techniques such as Reinforcement Learning are often difficult in multi-agent problems. With increasing numbers of agents the decision space grows rapidly and is made increasingly complex through …
VENTURER was one of the first three UK government funded research and innovation projects on Connected Autonomous Vehicles (CAVs) and was conducted predominantly in the South West region of the country. A series of increasingly complex scenarios …
This paper looks to use both centralised and decentralised implementations of Evolutionary Algorithms to solve a dynamic variant of the Multi-Agent Travelling Salesman Problem. The problem is allocating an active set of tasks to a set of agents …