Reinforcement learning | The Alan Turing Institute

Projects

Electricity pylons

AI for control problems

Using a competition platform to accelerate progress in data-driven control problems

Inside Stansted air traffic control tower

Decision-making under uncertainty in air traffic control

Investigating machine learning methods to support air traffic controllers

Aerial shot of a full baseball stadium

Bringing the social city to the smart city

Using AI and machine learning to understand and simulate cities

Surgeons

Safe AI for surgical assistance

Developing methods for assistive robots to learn correct actions from human experts, in the domain of surgical assistance in operating rooms

Children using tablets

AI and inclusion

Seeking to understand the design and deployment of AI and inclusion to benefit those with disabilities, which will also provide digital accessibility for all members of society

Drone shot of a city

Simulating cities with AI agents

Developing new approaches for modelling human behaviour in cities, for simulating urban dynamics

People

Michael Rovatsos

Dr Michael Rovatsos

Turing University Lead - Edinburgh

Events

Building blue sky

Creativity and design in AI

Monday 18 Nov 2019

Time: 15:00 - 17:30

Dr Vahid Moosavi Dr S. M. Ali Eslami

drone

Towards Autonomous Robotic Systems Conference (TAROS)

Wednesday 03 Jul 2019 - Friday 05 Jul 2019

Time: 09:00 - 18:00

Objects on graph paper

Reinforcement and mean-field games in algorithmic trading

Wednesday 27 Mar 2019

Time: 14:00 - 16:00

Prof. Sebastian Jaimungal

Impact stories

Air traffic control

Putting the AI in air traffic control

The UK’s leading air traffic control provider, NATS, has teamed up with the Turing to explore how the industry can evolve with machine learning

Programmes

Cityscape

Urban analytics

Developing data science and AI focused on the process, structure, interactions and evolution of agents, technology and infrastructure within and between cities.