Castronovo Michael

2017

• "Offline Policy-search in Bayesian Reinforcement Learning (Ph.D. Thesis)".

  M. Castronovo (115 pages).

  Materials: BBRL library

• "Approximate Bayes Optimal Policy Search using Neural Networks".

  M. Castronovo, V. François-Lavet, R. Fonteneau, D. Ernst, A. Couëtoux. In Proceedings of the 9th International Conference on Agents and Artificial Intelligence (ICAART 2017), Porto, Portugal, February 24-26 2017 (13 pages).

  Materials: BBRL library

2016

• "Benchmarking for Bayesian Reinforcement Learning".

  M. Castronovo, D. Ernst, A. Couëtoux, R. Fonteneau. PLoS ONE Journal (PLoS ONE 2016), June 15 2016. (25 pages)

  Materials:

  • BBRL library
  • "S1 File" (9 pages)
  • "S2 File" (3 pages)
  • "S3 File" (2 pages)

2014

• "Bayes Adaptive Reinforcement Learning versus Off-line Prior-based Policy Search: an Empirical Comparison".

  M. Castronovo, D. Ernst, R. Fonteneau. In Proceedings of the 23rd Belgian-Dutch Conference on Machine Learning (BENELEARN 2014), Bruxelles, Belgium, June 6 2014. (8 pages)

  Materials: BBRL library

• "Apprentissage par renforcement bayésien versus recherche directe de politique hors-ligne".

  M. Castronovo, F. Maes, R. Fonteneau and D. Ernst. Proceedings des 9èmes Journée Francophones de Planification, Décision et Apprentissage (JFPDA 2014), Brussels, Belgium, May 12 2014. (8 pages)

• "Learning exploration/exploitation strategies for single trajectory reinforcement learning".

  M. Castronovo, F. Maes, R. Fonteneau and D. Ernst. In Proceedings of the 10th European Workshop on Reinforcement Learning (EWRL 2012), Edinburgh, Scotland, June 30-July 1 2012. (8 pages)

• "Learning for exploration/exploitation in reinforcement learning (Master Thesis)".

  M. Castronovo (36 pages)