Subject: Reinforcement Learning

TAKEN – Building a Multi-Agent Negotiation System for Traffic Signals

Ivana Dusparic (email | all projects)

This idea will explore traffic signal control done by AI agents that negotiate in natural language: a vehicle requesting priority, a traffic light balancing competing demands, a neighbouring intersection protecting its own green-wave timing. This project builds the foundational system: a working prototype combining a traffic simulator (SUMO) with large language model agents that negotiate … Read more

Reinforcement Learning and Game Playing

Martin Emms (email | all projects)

There is a theoretical and implementational field ‘Game Theory’ (GT), originating in the 1940s, concerned with ‘games’: situations where players interact with each other and possibly some other objects in a very formalised way, gaining individual ‘pay-offs’ when the ‘game’ ends. Tic-Tac-Toe is a so-called ‘2-person zero-sum game’ and GT is concerned with what are … Read more