Recent Publications

CrazyRL : A Multi-Agent Reinforcement Learning library for flying Crazyflie drones

Design and analysis of an E-Puck2 robot plug-in for the ARGoS simulator

Evaluating Surrogate Models for Robot Swarm Simulations

Optimising Robot Swarm Formations by Using Surrogate Models and Simulations

MO-Gym A Library of Multi-Objective Reinforcement Learning Environments

An Evolutionary Algorithm to Optimise a Distributed UAV Swarm Formation System

MORL/D: Multi-Objective Reinforcement Learning based on Decomposition

Optimising autonomous robot swarm parameters for stable formation design

Metaheuristics-based Exploration Strategies for Multi-Objective Reinforcement Learning