An overview of recent application trends at the AAMAS conference: Security, sustainability and safety, AI Magazine, vol.33, issue.3, pp.14-28 ,
Keeping Pace with Criminals: An Extended Study of Designing Patrol Allocation against Adaptive Opportunistic Criminals, Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (AAMAS '15, pp.2015-1351 ,
DOI : 10.1109/18.825794
The impact of adversarial knowledge on adversarial planning in perimeter patrol, Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems (AAMAS '08), pp.55-62, 2008. ,
When security games go green: Designing defender strategies to prevent poaching and illegal fishing, Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI '15), 2015. ,
An extended study on addressing defender teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs, Multiagent and Grid Systems, vol.11, issue.4, pp.189-226, 2016. ,
DOI : 10.3233/MGS-150236
Deploying paws to combat poaching: Gametheoretic patrolling in areas with complex terrains, Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016. ,
Security games with surveillance cost and optimal timing of attack execution, Proceedings of the 2013 International Conference on Autonomous Agents and Multiagent Systems (AAMAS '13), pp.223-230, 2013. ,
An efficient heuristic approach for security against multiple adversaries, Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems , AAMAS '07, pp.1811-1818, 2007. ,
DOI : 10.1145/1329125.1329344
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.159.4825
Leader-follower strategies for robotic patrolling in environments with arbitrary topologies, Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS '09), pp.57-64, 2009. ,
Computing Optimal Randomized Resource Allocations for Massive Security Games, Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems, pp.689-696, 2009. ,
DOI : 10.1017/CBO9780511973031.008
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.7445
Adversarial uncertainty in multi-robot patrol, Proceedings of the 21st international jont conference on Artifical intelligence (IJCAI'09), pp.1811-1817, 2009. ,
Capture: A new predictive anti-poaching tool for wildlife protection, 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS '16), 2016. ,
Online planning for optimal protector strategies in resource conservation games, Proceedings of the 13th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS '14), pp.733-740, 2014. ,
The complexity of decentralized control of mdps, Mathematics of Operations Research, pp.27819-840, 2002. ,
Exploiting separability in multi-agent planning with continuous-state MDPs, Proceedings of the 11th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS '14), pp.1281-1288, 2014. ,
A framework for sequential planning in multi-agent settings, 1109. ,
An overview of recent application trends at the aamas conference: Security, sustainability and safety, AI Magazine, vol.33, issue.3, pp.14-28 ,
Solving Hidden-Semi-Markov-Mode Markov Decision Problems, Scalable Uncertainty Management, pp.176-189, 2014. ,
DOI : 10.1007/978-3-319-11508-5_15
URL : https://hal.archives-ouvertes.fr/hal-01200812
Decentralized control of partially observable Markov decision processes, 52nd IEEE Conference on Decision and Control, 2013. ,
DOI : 10.1109/CDC.2013.6760239
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.9809
Point-based backup for decentralized POMDPs: Complexity and new algorithms, Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS '10), pp.1315-1322, 2010. ,
Solving decentralized multi-agent control problems with genetic algorithms, 2007 IEEE Congress on Evolutionary Computation, 2007. ,
DOI : 10.1109/CEC.2007.4424583
Solving decentralized POMDP problems using genetic algorithms, Autonomous Agents and Multi-Agent Systems, vol.175, issue.1, pp.161-196, 2013. ,
DOI : 10.1007/s10458-012-9204-y
On the analysis of the (1+1) evolutionary algorithm, Theoretical Computer Science, vol.276, issue.1-2, 2002. ,
DOI : 10.1016/S0304-3975(01)00182-7
On Information and Sufficiency, The Annals of Mathematical Statistics, vol.22, issue.1, 1951. ,
DOI : 10.1214/aoms/1177729694