Sevenmachines

MARL

Multi-agent systems

Reinforcement learning for emergent multi-agent systems

Glad to say that my thesis has passed and been accepted by Kings College London, and I am now a Doctor of Philosophy in Multi-agent Systems! For anyone interested in “Agent-based self-organisation for task allocation: reinforcement learning for emergent multi-agent systems”, here is the final work. This brings together research work and new algorithms for tackling task and resource allocation in multi-agent systems using reinforcement learning, as well as the emergence of roles within an agent-based system through self-organisation driven by inter-agent rewards and knowledge exchange. If anyone has any interesting work going on in this or any related areas, feel free to drop me a message.

April 25, 2023

Multi-agent systems

Resource allocation in dynamic multiagent systems

This is the second paper (in review) in the Multi-agent learning in dynamic systems series. This work looks at how agents can learn to allocate restricted resources to handle incoming tasks, adapting to meet the goals of other agents as they gain knowledge on those goals. Multi-agent learning in dynamic systems Focused on applying reinforcement learning techniques to multi-agent systems where the environment is dynamic, and realistic resource constraints exist. This work combines task-allocation optimisation, resource allocation, and self-organising hierarchical agent structures.

February 11, 2021

Multi-agent systems

Multi-agent task allocation using reinforcement learning

This is the first paper (in review) in the Multi-agent learning in dynamic systems series. Developing new algorithms to optimise task allocation in multi-agent systems. Q-learning, historical reward convolution, and dynamically adaptable risk-based system exploration approaches are developed. Multi-agent learning in dynamic systems Focused on applying reinforcement learning techniques to multi-agent systems where the environment is dynamic, and realistic resource constraints exist. This work combines task-allocation optimisation, resource allocation, and self-organising hierarchical agent structures.

February 10, 2021