A Unifying Framework for Reinforcement Learning and Planning

Sequential decision making, commonly formalized as optimization of a Markov Decision Process, is a key challenge in artificial intelligence. Two successful approaches to MDP optimization are reinforcement learning and planning, which both largely have their own research communities. However, if both research fields solve the same problem,...

Visual Storytelling: Assessing the power of maps in planning

There is an abundant use of visualisation in spatial planning. This chapter is particularly concerned about planning on the regional level and beyond. On these higher levels of scales maps form the dominant visualisation mode. To fully comprehend and evaluate the content of these maps this chapter first discusses a set of theoretical concepts...

Coordinated expansion planning of transmission and distribution systems integrated with smart grid technologies

Integration of smart grid technologies in distribution systems, particularly behind-the-meter initiatives, has a direct impact on transmission network planning. This paper develops a coordinated expansion planning of transmission and active distribution systems via a stochastic multistage mathematical programming model. In the transmission level...

Generalized Models of Sequential Decision-Making under Uncertainty

Sequential decision-making under uncertainty is an important branch of artificial intelligence research with a plethora of real-life applications. In this thesis, we generalize two fundamental properties of the decision-making process. First, we show that the theory on planning methods for finite spaces can be extended to infinite but countable...

Celebrating HERstories in architecture and planning on International Women’s Day

At the dawn of International Women’s Day, I want to highlight the importance of feminist solidarity and the need to amplify the voices of these women who have been at the forefront of local organisations and planning in their communities. Too often, these women have been overlooked in the writing of (planning and design) history. By celebrating...

Demolition or retention of buildings: drivers at the masterplan scale

Current adaptation theory tends to consider individual buildings or the city level, which cannot address decisions related to masterplan developments on large brownfield sites. This paper investigates the drivers for building demolition or retention and adaptation decisions at the masterplan scale. Expert interviews and three case studies are...