Dr Raluca Gaina

Research

Publications

• Gaina RD, Devlin S, Lucas SM et al. (2021). Rolling Horizon Evolutionary Algorithms for General Video Game Playing. nameOfConference

  
  

  DOI: 10.1109/TG.2021.3060282

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/71287
• Perez-Liebana D, Hsu Y-J, Emmanouilidis S et al. (publicationYear). Tribes: A New Turn-Based Strategy Game for AI Research. nameOfConference

  
  

  DOI: 10.1609/aiide.v16i1.7438

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/69387
• Perez-Liebana D, Alam MS, Gaina RD (2020). Rolling Horizon NEAT for General Video Game Playing. 2020 IEEE Conference on Games (CoG)

  
  

  DOI: 10.1109/cog47356.2020.9231606

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/65401
• Gaina RD, Perez-Liebana D, Lucas SM et al. (2020). Self-Adaptive Rolling Horizon Evolutionary Algorithms for General Video Game Playing. 2020 IEEE Conference on Games (CoG)

  
  

  DOI: 10.1109/cog47356.2020.9231587

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/65400
• Montoliu R, Gaina RD, Pérez-Liebana D et al. (2020). Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game. International Conference on the Applications of Evolutionary Computation

  
  

  DOI: 10.1007/978-3-030-43722-0_26

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/65282
• Perez-Liebana D, Gaina RD, Drageset O et al. (publicationYear). Analysis of Statistical Forward Planning Methods in Pommerman. nameOfConference

  
  

  DOI: 10.1609/aiide.v15i1.5226

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/61628
• Liébana DPXR, Lucas SM, Gaina RD et al. (2019). General Video Game Artificial Intelligence. nameOfConference

  
  

  DOI: 10.2200/s00944ed1v01y201908gci005

  
  

  QMRO: qmroHref
• GAINA RALUCA, Stephenson M (2019). 'Did You Hear That?' Learning to Play Video Games from Audio Cues. IEEE Conference on Games (COG)

  
  

  DOI: 10.1109/CIG.2019.8848088

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/61746
• Lucas S, Dockhorn A, Volz V et al. (2019). A Local Approach to Forward Model Learning: Results on the Game of Life Game. IEEE Conference on Games (COG)

  
  

  DOI: 10.1109/CIG.2019.8848002

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/61748
• Dockhorn A, Lucas S, Volz V et al. (2019). Learning Local Forward Models on Unforgiving Games. IEEE Conference on Games (COG)

  
  

  DOI: 10.1109/CIG.2019.8848044

  
  

  QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/61745