Encoding human behavior in information design through deep learning
We initiate the study of $\textit {behavioral information design} $ through deep learning. In
information design, a $\textit {sender} $ aims to persuade a $\textit {receiver} $ to take certain …
information design, a $\textit {sender} $ aims to persuade a $\textit {receiver} $ to take certain …
Airsim-w: A simulation environment for wildlife conservation with uavs
Increases in poaching levels have led to the use of unmanned aerial vehicles (UAVs or
drones) to count animals, locate animals in parks, and even find poachers. Finding poachers …
drones) to count animals, locate animals in parks, and even find poachers. Finding poachers …
Learning optimal prescriptive trees from observational data
We consider the problem of learning an optimal prescriptive tree (ie, an interpretable
treatment assignment policy in the form of a binary tree) of moderate depth, from …
treatment assignment policy in the form of a binary tree) of moderate depth, from …
Are drivers ready for traffic enforcement drones?
A Rosenfeld - Accident Analysis & Prevention, 2019 - Elsevier
Traffic enforcement drones reduce high-risk driving behavior which often leads to traffic
crashes. However, the introduction of drones may face a public acceptance challenge which …
crashes. However, the introduction of drones may face a public acceptance challenge which …
When crowdsourcing meets unmanned vehicles: Toward cost-effective collaborative urban sensing via deep reinforcement learning
Mobile crowdsensing (MCS) and unmanned vehicle sensing (UVS) provide two
complementary paradigms for large-scale urban sensing. Generally, MCS has a lower cost …
complementary paradigms for large-scale urban sensing. Generally, MCS has a lower cost …
To signal or not to signal: Exploiting uncertain real-time information in signaling games for security and sustainability
Motivated by real-world deployment of drones for conservation, this paper advances the
state-of-the-art in security games with signaling. The well-known defender-attacker security …
state-of-the-art in security games with signaling. The well-known defender-attacker security …
[HTML][HTML] Optimal cruiser-drone traffic enforcement under energy limitation
Drones can assist in mitigating traffic accidents by deterring reckless drivers, leveraging their
flexible mobility. In the real-world, drones are fundamentally limited by their battery/fuel …
flexible mobility. In the real-world, drones are fundamentally limited by their battery/fuel …
Reinforcement learning for unified allocation and patrolling in signaling games with uncertainty
Green Security Games (GSGs) have been successfully used in the protection of valuable
resources such as fisheries, forests and wildlife. While real-world deployment involves both …
resources such as fisheries, forests and wildlife. While real-world deployment involves both …
When can the defender effectively deceive attackers in security games?
This paper studies defender patrol deception in general Stackelberg security games (SSGs),
where a defender attempts to alter the attacker's perception of the defender's patrolling …
where a defender attempts to alter the attacker's perception of the defender's patrolling …
Regstar: efficient strategy synthesis for adversarial patrolling games
We design a new efficient strategy synthesis method applicable to adversarial patrolling
problems on graphs with arbitrary-length edges and possibly imperfect intrusion detection …
problems on graphs with arbitrary-length edges and possibly imperfect intrusion detection …