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Personal profile

Research Interests

My work is in the area of artificial intelligence. I am particularly interested in applying machine learning techniques to intelligent agents and multi-agent systems, with a focus on smart cities applications.

Teaching Activity

Undergraduate modules

CS2230 Operating Systems, CS3340 Multi-agent Systems

In the past I have also taught CS2300 Java Program Construction.

Postgraduate modules

Multi-agent systems and Strategic Decision Making

Qualifications

2001-2005 Imperial College London 
PhD in Intelligent Systems

1997-2001 Imperial College London 
MEng Computing

2006-2007 Aston University 
Certificate in Learning and Teaching in Higher Education 

Employment

2019 Aston University 
Reader in Computer Science

2016 Aston University 
Director of the Computer Science Industry Club

2016 Aston University 
Deputy Head, Computer Science 

2006- 2019 Aston University 
Senior Lecturer in Computer Science

2006- 2012 Aston University 
Lecturer in Computer Science

2001-2006 Imperial College London 
Research Assistant, Department of Electrical and Electronic Engineering, Intelligent Systems and Networks Section.

April-Sept. 2000 and June-Sept. 1999 J.P.Morgan Investment Management 
Industrial Placements as a Software Analyst 

Contact Details

Phone number: 0121 204 3443 

Email: chlim@aston.ac.uk  

Room number: MB211H

Education/Academic qualification

PG Dip

PhD

MSc

Fingerprint Dive into the research topics where Maria Chli is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 9 Similar Profiles
Reinforcement learning Engineering & Materials Science
Intelligent agents Engineering & Materials Science
Multi agent systems Engineering & Materials Science
Supply chains Engineering & Materials Science
Reinforcement Learning Mathematics
Traffic Mathematics
Metric system Engineering & Materials Science
Learning systems Engineering & Materials Science

Research Output 2003 2019

A Deep Reinforcement Learning Agent for Traffic Intersection Control Optimization

Garg, D., Chli, M. & Vogiatzis, G., Oct 2019.

Research output: Contribution to conferencePaper

Reinforcement learning
Traffic signals
Decision making
Cameras
Throughput

Domain Adaptation for Reinforcement Learning on the Atari

Carr, T., Chli, M. & Vogiatzis, G., 8 May 2019, Proceedings of the 2019 International Conference on Autonomous Agents and Multi-Agent Systems. ACM, p. 1859-1861

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Reinforcement learning
Learning systems
Experiments

Traffic3d: A rich 3D-traffic environment to train intelligent agents

Garg, D., Chli, M. & Vogiatzis, G., 8 Jun 2019, Computational Science - ICCS 2019 - 19th International Conference, 2019, Proceedings. Dongarra, J. J., Rodrigues, J. M. F., Cardoso, P. J. S., Monteiro, J., Lam, R., Krzhizhanovskaya, V. V., Lees, M. H. & Sloot, P. M. A. (eds.). Springer-Verlag Wien, p. 749-755 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11540 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Intelligent agents
Intelligent Agents
Reinforcement learning
Traffic
Reinforcement Learning

Traffic3D: A New Traffic Simulation Paradigm

Garg, D., Chli, M. & Vogiatzis, G., 8 May 2019, Proceedings of the 2019 International Conference on Autonomous Agents and Multi-Agent Systems. ACM, p. 2354-2356

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Intelligent agents
Reinforcement learning
Physics
Object detection

Deep Reinforcement Learning for Autonomous Traffic Light Control

Garg, D., Chli, M. & Vogiatzis, G., 15 Oct 2018, 2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE). IEEE, p. 214-218 5 p. 8492537

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Reinforcement Learning
reinforcement
Telecommunication traffic
learning

Thesis

Hierarchical reinforcement learning for trading agents

Author: Talla Kuate, R., 7 Jan 2016

Supervisor: He, M. (Supervisor) & Chli, M. (Supervisor)

Student thesis: Doctoral ThesisDoctor of Philosophy

File

Using min-sum loopy belief propagation for decentralised supply chain formation

Author: Winsper, M., 3 Jul 2012

Supervisor: Chli, M. (Supervisor)

Student thesis: Doctoral ThesisDoctor of Philosophy

File

Activities 2006 2006

  • 1 Publication peer-review

Autonomous Agents and Multiagent Systems (Journal)

Maria Chli (Peer reviewer)
20062012

Activity: Publication peer-review and editorial work typesPublication peer-review