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Dynamic prediction-based relocation policies in one-way station-based carsharing systems with complete journey reservations
Related publications (51)
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This paper investigates the effect of combination policies on the performance of adaptive social learning in non-stationary environments. By analyzing the relation between the error probability and the underlying graph topology, we prove that in the slow a ...
IEEE2022Optimization of operational decisions for on-demand shared mobility systems
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This thesis introduces new operational management policies for two types of on-demand shared mobility systems, the now well-studied one-way carsharing systems and a new innovative semi-autonomous last-mile transportation system. In addition, two associated ...
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Policymaking is a complex process that has been studied using policy process theories almost exclusively. These theories have been built using a large number of qualitative cases. Such methods are useful for theory building but remain limited for theory ex ...
EPFL2021The Sensitivity of Housing Demand to Financing Conditions: Evidence from a Survey
Measuring the sensitivity of housing demand to mortgage rates and available leverage is challenging because there is generally no exogenous variation in these variables. This paper circumvents this issue by designing a strategic survey in which respondents ...
2021Logical Team Q-learning: An approach towards factored policies in cooperative MARL
Ali H. Sayed, Lucas Cesar Eduardo Cassano
We address the challenge of learning factored policies in cooperative MARL scenarios. In particular, we consider the situation in which a team of agents collaborates to optimize a common cost. The goal is to obtain factored policies that determine the indi ...
MICROTOME PUBLISHING2021Prepare Scientists to Engage in Science‐Policy
There is a dire need for deeper science‐policy engagement to face recent developments such as entering into the Anthropocene and our dependence as a species on technological and scientific advancements. However, there is a lack of preparedness and training ...
2020The time-dependent expected reward and deviation matrix of a finite QBD process
Deriving the time-dependent expected reward function associated with a continuous-time Markov chain involves the computation of its transient deviation matrix. In this paper we focus on the special case of a finite quasi-birth-and-death (QBD) process, moti ...
ELSEVIER SCIENCE INC2019From Public Value to Social Value of Digital Government: Co-Creation and Social Innovation in European Union Initiatives
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This paper discusses the development of key features in European Union policy and service redesign, based on social innovative practices where co-creation and the related phenomenon of digital social innovation have a high potential impact. The idea undern ...
2019Policy analysis during socio-technical energy transitions: three essays on the Swiss electricity sector
Global energy systems are changing rapidly. This energy transition complicates the use of traditional policy analysis methods. However, proper policy analysis and design is essential in managing the transition. This thesis takes an interdisciplinary approa ...
EPFL2019Distributed Value-Function Learning with Linear Convergence Rates
Ali H. Sayed, Kun Yuan, Lucas Cesar Eduardo Cassano
In this paper we develop a fully decentralized algorithm for policy evaluation with off-policy learning and linear function approximation. The proposed algorithm is of the variance reduced kind and achieves linear convergence with O(1) memory requirements. ...
IEEE2019