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Dr Michael Schofield

Lecturer
Engineering
Computer Science and Engineering
  • Journal articles | 2019
    Schofield M; Thielscher M, 2019, 'General game playing with imperfect information', Journal of Artificial Intelligence Research, 66, pp. 901 - 935, http://dx.doi.org/10.1613/jair.1.11844
  • Conference Papers | 2017
    Schofield M; Thielscher M, 2017, 'The efficiency of the hyperplay technique over random sampling', in 31st AAAI Conference on Artificial Intelligence, AAAI 2017, pp. 282 - 289
    Conference Papers | 2016
    Cazenave T; Saffidine A; Schofield M; Thielscher M, 2016, 'Nested monte carlo search for two-player games', in 30th AAAI Conference on Artificial Intelligence, AAAI 2016, pp. 687 - 693
    Conference Papers | 2016
    Schofield M; Thielscher M, 2016, 'The scalability of the HyperPlay technique for imperfect-information games', in AAAI Workshop - Technical Report, pp. 378 - 386
    Conference Papers | 2015
    Schofield M; Thielscher M, 2015, 'Lifting Model Sampling for General Game Playing to Incomplete-Information Models', in Bonet B (ed.), Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, Austin, presented at AAAI Conference on Artificial Intelligence, Austin, 25 January 2015 - 30 January 2015
    Conference Papers | 2013
    Schofield MJ; Saffidine A, 2013, 'High speed forward chaining for general game playing', The IJCAI-13 Workshop on General Game Playing
    Conference Papers | 2012
    Schofield M; Cerexhe T; Thielscher M, 2012, 'HyperPlay: A Solution to General Game Playing with Imperfect Information', in AAAI, AAAI Press, pp. 1606 - 1612