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Alvaro Torralba is an academic with a focus on AI planning and decision-making systems. His research spans various areas including flexible AI planning, agent-based scenarios, and state-space exploration. He is proficient in optimal planning games and heuristic search techniques. His ongoing projects involve developing automated planning models that incorporate emotion-aware decision-making in video games. Alvaro has been an active contributor to numerous publications related to his research interests and has gained recognition within the academic community through awards and conference recognitions. He is engaged in multiple research projects and is committed to advancing the field of AI and machine learning.
Aalborg University • Aalborg, Denmark
Teaching and conducting research in the areas of AI and machine learning.
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.