Managers of US National Forests must decide what policy to apply for dealing with lightningcaused wildfires. Conflicts among stakeholders (e.g., timber companies, home owners, and wildlife biologists) have often led to spirited political debates and even violent eco-terrorism. One way to transform these conflicts into multistakeholder negotiations is to provide a highfidelity simulation environ...

Discrete-event simulation techniques have been widely used for network analysis and policy optimization. In this paper, the use of high fidelity simulation models for real-time control of supply chain interactions is presented. Most formulations for supply chain problems involve optimization of an objective function consisting of various cost components (material, production, inventory, duties,...

This work was motivated by the observation that not all objects are equally important. In many scenarios, the importance also wanes with time. We leveraged this importance notions to reduce the management overhead for less important objects. In our system, all objects were explicitly annotated by the content creators using a temporal importance metric. The storage system used these hints to man...

Although a growing body of literature has examined wraparound implementation and fidelity, child and family team (CFT) members’ levels of participation and the consistency of their attendance have not been systematically examined. This study explored the relationship between CFT member attendance consistency and the fidelity of wraparound team level implementation processes in a System of Care ...

fidelity quantum state evolution in imperfect photonic integrated circuits. Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. We propose and analyze the design of a ...

Techniques based on discrete-event simulation have been widely used for network analysis and policy optimization in the domain of supply chain management. Previous researchers have developed and implemented architectures for simulation-based control for shop floor. A more detailed and high-fidelity simulation model is used for control purposes as opposed to that used for analytical purposes alo...

This paper studies the problem of Reinforcement Learning (RL) using as few real-world samples as possible. A naive application of RL algorithms can be inefficient in large and continuous state spaces. We present two versions of Multi-Fidelity Reinforcement Learning (MFRL) algorithm that leverage Gaussian Processes (GPs) to learn the optimal policy in a real-world environment. In MFRL framework,...

Run-time monitors ensure that untrusted software and system behavior adheres to a security policy. This paper defines an expressive formal framework, based on I/O automata, for modeling systems, policies, and run-time monitors in more detail than is typical. We explicitly model, for example, the environment, applications, and the interaction between them and monitors. The fidelity afforded by t...

In this paper, we extend a recently introduced motion planning framework for autonomous vehicles based on a maneuver automaton representation of the vehicle dynamics. We bring robustness into the guidance system by accounting for the uncertainties in the motion primitives used by the maneuver automaton. The uncertainties are taken into account in the offline computation of a guidance function, ...