Model-based Reinforcement Learning: A Survey

Sequential decision making, commonly formalized as Markov Decision Process (MDP) optimization, is an important challenge in artificial intelligence. Two key approaches to this problem are reinforcement learning (RL) and planning. This survey is an integration of both fields, better known as model-based reinforcement learning. Model-based RL...

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,...

HyEnA: A Hybrid Method for Extracting Arguments from Opinions

The key arguments underlying a large and noisy set of opinions help understand the opinions quickly and accurately. Fully automated methods can extract arguments but (1) require large labeled datasets and (2) work well for known viewpoints, but not for novel points of view. We propose HyEnA, a hybrid (human + AI) method for extracting...

Level Design Patterns That Invoke Curiosity-Driven Exploration: An Empirical Study across Multiple Conditions

Video games frequently feature 'open world' environments, designed to motivate exploration. Level design patterns are implemented to invoke curiosity and to guide player behavior. However, evidence of the efficacy of such patterns has remained theoretical. This study presents an empirical study of how level design patterns impact curiosity...

Shinobi Valley: Studying curiosity for virtual spatial exploration through a video game

Curiosity is a strong motivator for human action, but the circumstances under which one becomes curious are not clear. This paper builds on the assumption that video games can be used as a stimulus for the experimental study of curiosity, and forms a basis in examining the type of curiosity motivated by spatial exploration. A video game was...

Crowd-Sourcing Fuzzy and Faceted Classification for Concept Search

Searching for concepts in science and technology is often a difficult task. To facilitate concept search, different types of human-generated metadata have been created to define the content of scientific and technical disclosures. Classification schemes such as the International Patent Classification (IPC) and MEDLINE's MeSH are structured and...

Het woonuitgavenmodel: De Amsterdamse versie

De ontwikkeling van de woonuitgaven in de huursector, 1986-2000: Een herberekening van de ontwerp nota volkshuisvesting in de jaren negentig

Onderzoek uitgevoerd in opdracht van de Raad voor de Volkshuisvesting.

Een alternatief huur- en subsidiestelsel: De financiële doorrekening van het huur- en subsidiestelsel