Simulation

Single-Agent Policies for the Multi-Agent Persistent Surveillance Problem via Artificial Heterogeneity

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 …

A Connected Autonomous Vehicle Testbed: Capabilities, Experimental Processes and Lessons Learned

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 …

Decentralised Multi-Demic Evolutionary Approach to the Dynamic Multi-Agent Travelling Salesman Problem

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 …