Multi-agent UAV path planning L Marsh, G Calbert, J Tu, D Gossink, H Kwok Proc Modelling and Simulation Society of Australia & New Zealand, Melbourne, 2005 | 25 | 2005 |
UAV team formation for emitter geolocation L Marsh, D Gossink, SP Drake, G Calbert 2007 Information, Decision and Control, 176-181, 2007 | 20 | 2007 |
A systematic review of coevolution in real-time strategy games EZ Elfeky, S Elsayed, L Marsh, D Essam, M Cochrane, B Sims, R Sarker IEEE Access 9, 136647-136665, 2021 | 13 | 2021 |
Multi-agent coordination and optimisation in the RoboCup Rescue project WYJ Chou, L Marsh, D Gossink 18th World IMACS/MODSIM Congress. Cairns, Australia (July), 2009 | 8 | 2009 |
Machine learning for adversarial agent microworlds J Scholz, B Hengst, G Calbert, A Antoniades, P Smet, L Marsh, HW Kwok, ... MODSIM 2005 International Congress on Modelling and Simulation, Modelling …, 2005 | 6 | 2005 |
Autonomous target allocation recommendations L Marsh, M Cochrane, R Lodge, B Sims, J Traish, R Xu 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1403-1410, 2020 | 3 | 2020 |
Reinforcement learning with model predictive control-recent development T Tran, L Marsh, R Hunjet Conference paper, ICOCTA, Sidney, 2019 | 2 | 2019 |
Machine learning approach for task generation in uncertain environments L Marsh, I Dzieciuch, D Lange 2017 AAAI Spring Symposium Series, 2017 | 2 | 2017 |
Coevolutionary algorithm for evolving competitive strategies in the weapon target assignment problem E Elfeky, M Cochrane, L Marsh, S Elsayed, B Sims, S Crase, D Essam, ... Proceedings of the 2022 6th International Conference on Intelligent Systems …, 2022 | 1 | 2022 |
Negotiation Protocol Comparison for Task Allocation in Highly Dynamic Environments K Noack, L Marsh, S Shekh MOD-SIM2015, 21st International Congress on Modelling and Simulation …, 2015 | 1 | 2015 |
Exploiting Symmetries in Logistics Distribution Planning L Marsh, D Gossink 19th International Congress on Modelling and Simulation, 482-488, 2011 | 1 | 2011 |
A Hybrid Multi-Modal Approach For Flocking R Lodge, M Zamani, L Marsh, B Sims, R Hunjet 2019 12th Asian Control Conference (ASCC), 126-131, 2019 | | 2019 |
Machine Learning Approach for Task Generation in Uncertain Contexts L Marsh, I Dzieciuch, DS Lange Computational Context, 97-106, 2018 | | 2018 |
Assessing Supply Chain Robustness Through Stress Testing S Shekh, L Marsh The Twenty-Ninth International Flairs Conference, 2016 | | 2016 |
Multi-Agent Distribution Planning L Marsh, S Shekh, T Allard, HW Kwok, D Gossink | | |
A Heuristic Planning Algorithm For Highly Constrained Maximum on Ground Problems S Shekh, L Marsh | | |