LEONARDO STELLA
ASSISTANT PROFESSOR (UoB) - Dynamic Learning and Control Research Group
ABOUT
I am an Assistant Professor in Computer Science at the University of Birmingham, School of Computer Science. To know more about the Dynamic Learning and Control (DLC) Research Group, click here.
My research interests are in the areas of game theory, multi-agent systems, reinforcement learning, control theory. Specifically, in my research I focus on the coordination and consensus of agents in game frameworks where cooperative/competitive interactions occur. Multi-agent reinforcement learning (MARL) with applications to collective decision-making and materials is my main research focus.
NEWS
2024 Jul - I have been selected to work as Research Proposal External Evaluator by the University of Malta.
2024 Jul - Our paper "Human-machine cooperation through human-like visual search model" has been accepted for publication in the Reinforcement Learning Conference, CoCoMARL workshop.
2024 Jul - William Bailkoski and Chit Lee have started a summer internship as research assistants with me and with Mirco Giacobbe and Chris Baber, respectively.
2024 Jun - Ziyue and Chrystian have presented the initial collaborative work on coverage control in robotic swarms using multi-agent reinforcement learning at the AI Symposium hosted at the Dyson campus.
2024 Jun - Our paper "Cascading failures in the global financial system: A dynamical model" has been accepted for publication in ORL and is now available here.
2024 May - I participated in Pint of Science, Birmingham, with the talk titled "Know your Team: the Evolution of Cooperation from Nature to Machines". The slides are available here.
2024 May - Welcome to Chrystian Pool Edmundo Yuca Huanca for his research visit at UoB where he will work with Ziyue on MARL and MPC for coverage control in robot swarms!
2024 May - Honoured to serve as a member of the EPSRC Peer Review College.
2024 Apr - The EECI's course on Game Theory hosted at the UoB and co-taught by Dario Bauso and myself has its own webpage!
2024 Apr - Kickstart of the project on predictive manufacturing based on reinforcement learning: Francesco Careri, Ilaria Lagalante, Ahmed Muadh Faizan Mohamed, Sam Robbins, Nicoletta Lambrou.
2024 Apr - Mr Aju Ani Justus has joined our project "HuMaT" as PhD student. Welcome, Adi!
2024 Mar - Our project "Process Parameter Optimisation for Predictive Manufacturing and Design via Multi-Agent Reinforcement Learning" has been awarded funding. More info to come.
2024 Jan - Dr Aditya Acharya has joined our project "HuMaT" as PDRA. Welcome, Adi!
2024 Jan - Mr Ziyue Chu has joined my research group. Welcome, Ziyue! His PhD will focus on efficient multi-agent reinforcement learning for scalable cyber-physical systems.Â
Happy 2024!
2023 Dec - My PhD student Tuo Zhang has attended his first CDC conference and presented our work on MARL in feedback-evolving games.
2023 Nov - Truly honoured to host and be part of the course on "Game Theory with Engineering Applications" at UoB with my mentor and friend Prof Dario Bauso! The course is organised by the European Embedded Control Institute. The complete programme can be found here.
2023 Oct - Two amazing opportunities to join our project "HuMaT" in collaboration with the Alan Turing Institute. Links on the right widget.
2023 Sep - Our paper "Evolutionary Dynamics on a Regular Networked Structured and Unstructured Multi-population" has been accepted in the International Journal for Robust and Nonlinear Control, Special Issue on Game Theory and Control for Cyber-Physical Systems.
2023 Aug - Our work "A Multi-Agent Reinforcement Learning Approach to Promote Cooperation in Evolutionary Games on Networks with Environmental Feedback" has been accepted for presentation at CDC in Singapore. Well done, Tuo!
2023 Jan - Mr Tuo Zhang has joined my group. Welcome, Tuo! His PhD will focus at the intersection of evolutionary dynamics and multi-agent reinforcement learning for provable guarantees.
CONTACTS
School of Computer Science
University of Birmingham, Edgbaston, Birmingham, B15 2TT
Office: 215