@conference {1503999,
	title = {Planning and Learning in Security Games },
	booktitle = {ACM SigEcom Exchanges},
	volume = {11},
	year = {2013},
	edition = {3},
	abstract = {We present two new critical domains where security games are applied to generate randomized
patrol schedules. For each setting, we present the current research that we have produced. We
then propose two new challenges to build accurate schedules that can be deployed effectively in
the real world. The first is a planning challenge. Current schedules cannot handle interruptions.
Thus, more expressive models, that allow for reasoning over stochastic actions, are needed. The
second is a learning challenge. In several security domains, data can be used to extract information
about both the environment and the attacker. This information can then be used to improve the
defender{\textquoteright}s strategies.},
	author = {Delle Fave, Francesco Maria and Qian, Yundi and Xin Jiang, Albert and Brown, Matthew and Tambe, Milind}
}
