Photo of Maria Chli
    • School of Engineering and Applied Science, Aston University

      B4 7ET Birmingham

      United Kingdom

    20032019
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    Research Output 2003 2019

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    Conference contribution

    A Deep Reinforcement Learning Agent for Traffic Intersection Control Optimization

    Garg, D., Chli, M. & Vogiatzis, G., 28 Nov 2019, 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. IEEE, p. 4222-4229 8 p. 8917361

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

    traffic control
    Reinforcement learning
    reinforcement
    intersections
    learning

    An efficient knowledge transfer solution to a novel SMDP formalization of a broker's decision problem

    Talla Kuate, R., Chli, M. & Wang, H. H., 4 May 2015, AAMAS'15 International Conference on Autonomous Agents and Multi Agent Solutions. ACM, Vol. 3. p. 1735-1736 2 p. paper 278

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

    File
    Reinforcement learning
    Experiments

    An intelligent broker agent for energy trading: an MDP approach

    Talla Kuate, R., He, M., Chli, M. & Wang, H., 2013, Proceedings of the twenty-third International Joint Conference on Artificial Intelligence. AAAI, p. 234-240 7 p.

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

    Open Access
    File
    Hidden Markov models
    Power markets

    A probabilistic model for trust and reputation

    Vogiatzis, G., MacGillivray, I. & Chli, M., 2010, Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems. IFAAMAS, Vol. 1. p. 225-232 8 p.

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

    Hidden Markov models
    Optimal systems
    Autonomous agents
    Multi agent systems
    Decision making

    Decentralised supply chain formation: a belief propagation-based approach

    Winsper, M. & Chli, M., 2010, Frontiers in artificial intelligence and applications. Coelho, H., Studer, R. & Wooldridge, M. (eds.). Amsterdam (NL): IOS, Vol. 215. p. 1125-1126 2 p.

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

    Propagation
    Decentralized supply chain
    Competitive equilibrium
    Auctions
    Double auction

    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

    Domain adaptation for reinforcement learning on the Atari

    Carr, T., Chli, M. & Vogiatzis, G., 8 May 2019, 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019. ACM, p. 1859-1861 3 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 4).

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

    Open Access
    File
    Reinforcement learning
    Learning systems
    Experiments

    Effect of mobility on violence in a bi-communal population

    Winsper, M. & Chli, M., 2009, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. IFAAMAS, Vol. 2. p. 1361-1362 2 p.

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

    Open Access
    Violence

    Optimising market share and profit margin: SMDP-based tariff pricing under the smart grid paradigm

    Kuate, R. T., Chli, M. & Wang, H. H., 2 Oct 2014, Proceedings of IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). IEEE, 6 p. II.2.11

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

    Profitability
    Reinforcement learning
    Costs
    Electricity
    Decomposition

    Stability of multi-agent systems

    Chli, M., de Wilde, P., Goossenaerts, J., Abramov, V., Szirbik, N., Correia, L., Mariano, P. & Ribeiro, R., 2003, IEEE International Conference on Systems, Man and Cybernetics, 2003. IEEE, Vol. 1. p. 551-556 6 p. (IEEE International Conference on Systems, Man, and Cybernetics: conference proceedings).

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

    Metric system
    Multi agent systems
    Ecosystems
    Markov processes
    Probability distributions

    The effect of social influence and curfews on civil violence

    Garlick, M. & Chli, M., 10 May 2009, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. IFAAMAS, Vol. 2. p. 1335-1336 2 p.

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

    Law enforcement
    Violence

    The effect of social influence and curfews on civil violence

    Garlick, M. & Chli, M., 2009, Proceedings of the 8th international conference on autonomous agents and multi-agent systems. Vol. 2. p. 1335-1336 2 p.

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

    violence
    citizen
    social order
    community
    police

    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. Rodrigues, J. M. F., Cardoso, P. J. S., Monteiro, J., Lam, R., Krzhizhanovskaya, V. V., Lees, M. H., Sloot, P. M. A. & Dongarra, J. J. (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, 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019. ACM, p. 2354-2356 3 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 4).

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

    Open Access
    File
    Intelligent agents
    Reinforcement learning
    Physics
    Object detection

    Using the max-sum algorithm for supply chain formation in dynamic multi-unit environments

    Winsper, M. & Chli, M., 2012, Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems, 2012.

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

    Open Access
    File