Nicolás Rivera Aburto
Investigador
Universidad de Valparaíso
Valparaíso, Chile
Design and Analysis of Randomised Algorithms, Markov Chains and its applications in Computer Science.
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PhD in Theoretical Computer Science, KINGS COLLEGE LONDON. Reino Unido, 2018
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Computer Science, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2013
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Mathematics, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2011
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Research Associate Full Time
UNIVERSITY OF CAMBRIDGE
Cambridge, Reino Unido
2017 - 2021
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Investigador Full Time
UNIVERSIDAD DE VALPARAISO
Ingeniería
Valparaíso, Chile
2021 - At present
Supervision Tesis de Pregrado:
Jae Hee Lee - Reinforcement Learning Methods for Klondike Solitaire. University of Cambridge.
Organiser of The Third King’s Workshop on Random Graphs and Random Processes. April 2019.
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Best student paper award
Symposium on Combinatorial Search
Estados Unidos, 2013
Best Student Paper Award por el paper "Reconnecting with the Ideal Tree: An Alternative to Heuristic Learning in Real-Time Search"
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Distinguished Paper Award
Association for the Advancement of Artificial Intelligence
Chile, 2022
Distinguished Paper Award por el paper "Subset approximation of Pareto Regions with Bi-objective A*"
ALGORITHMS AND DYNAMICS ON LARGE NETWORKS |
Voting Models on Graphs |