Multiagent Reinforcement Learning Methods to Resolve Demand Capacity Balance Problems

Summarization: In this article, we explore the computation of joint policies for autonomous agents to resolve congestions problems in the air traffic management (ATM) domain. Agents, representing flights, have limited information about others’ payoffs and preferences, and need to coordinate to achieve their tasks while adhering to operational constraints. We formalize the problem as a multiagent Markov decision process (MDP) towards deciding flight delays to resolve demand and capacity balance (DCB) problems in ATM. To this end, we present multiagent reinforcement learning methods that allow agents to interact and form own policies in coordination with others. Experimental study on real-world cases, confirms the effectiveness of our approach in resolving the demand-capacity balance problem. Παρουσιάστηκε στο: 10th Hellenic Conference on Artificial Intelligenc

CHILES:Resolved HI morphology and galaxy environment at z=0.12 and z=0.17

We present an HI study of galaxies in different environments from the first 178 hours of observing the COSMOS HI Large Extragalactic Survey (CHILES). CHILES is a single deep pointing with the Very Large Array (VLA) in the COSMOS field designed to resolve HI in over 300 galaxies over a continuous redshift range out to z = 0.45. We use the COSMOS 20k group catalogue to assign group membership, and the Discrete Persistent Structures Extractor (DisPerSE) to identify filamentary structure in two volumes at z = 0.12 and z = 0.17. We discuss our findings from testing the automated spectral line source finder, SoFiA, on CHILES data cubes. We present resolved HI total intensity maps, and discuss correlations between observed HI morphology and overall gas content with both the local environment and with the large-scale structure

Validation of the Spanish Version of the Food Allergy Quality of Life Questionnaire-Adult Form (S-FAQLQ-AF)

Introduction: Specific food allergy quality of life questionnaires have been developed within the context of the EuroPrevall project. We aimed to adapt and validate the Food Allergy Quality of Life Questionnaire-Adult Form (FAQLQ-AF) in the Spanish language. Methods: The original English questionnaire was translated and culturally adapted into Spanish following World Health Organization guidelines. The final Spanish version of the FAQLQ-AF (S-FAQLQ-AF) was approved by the original authors. Consecutive patients (>= 18 years old) who fulfilled the following criteria were recruited: 1) diagnosis of food allergy defined as immediate allergic symptoms and a positive prick test or IgE against the culprit food(s) and 2) physician-assessed ability to complete the questionnaires. Patients completed the S-FAQLQ-AF and a Spanish version of the SF-12 questionnaire. Reliability was assessed 10 to 14 days after completion of the first questionnaire. Results: Eighty-two consecutive outpatients were recruited and cross-sectional validity was assessed based on the correlation between the S-FAQLQ-AF and the Food Allergy Independent Measure (FAIM) in this population (rho=0.83, P Conclusion: The S-FAQLQ-AF is a valid, short, easy-to-use, and reliable instrument that discriminates between patients with different atopic phenotypes and is suitable for assessing the impact of IgE-mediated food allergy on patient quality of life