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Research
  1. Queen Mary University of London
  2. Research
  3. Publications

Publications: Mr Ivan Bravi

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Bravi I, Lucas S ( 2022 ) . Rinascimento: Playing Splendor-Like Games With Event-Value Functions . IEEE Transactions on Games vol. 15 , ( 1 ) 16 - 25 .
Bravi I, Lucas SM ( 2020 ) . Rinascimento: using event-value functions for playing Splendor . Conference: 2020 IEEE Conference on Games (CoG) vol. 00 , 283 - 290 .
Bravi I, Perez-Liebana D, Lucas SM, Liu J ( 2019 ) . Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor . Conference: 2019 IEEE Conference on Games (CoG) vol. 00 , 1 - 8 .
Lucas S, Dockhorn A, Volz V, Bamford C, GAINA RALUCA, Bravi I, Perez-Liebana D, Mostaghim S et al. ( 2019 ) . A Local Approach to Forward Model Learning: Results on the Game of Life Game . Conference: IEEE Conference on Games (COG)
Dockhorn A, Lucas S, Volz V, Bravi I, GAINA RALUCA, Perez-Liebana D ( 2019 ) . Learning Local Forward Models on Unforgiving Games . Conference: IEEE Conference on Games (COG)
Bravi I, Volz V, Lucas S ( 2019 ) . Game AI hyperparameter tuning in rinascimento . Conference: Proceedings of the Genetic and Evolutionary Computation Conference Companion1742 - 1746 .
Bravi I, Perez-Liebana D, Lucas SM, Liu J ( 2018 ) . Shallow Decision-Making Analysis in General Video Game Playing . Conference: 2018 IEEE Conference on Computational Intelligence and Games (CIG) vol. 00 , 1 - 8 .
Sironi CF, Liu J, Perez-Liebana D, Gaina RD, Bravi I, Lucas SM, Winands MHM ( 2018 ) . Self-adaptive MCTS for General Video Game Playing . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . vol. 10784 LNCS , 358 - 375 .
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