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Color legend

  • PhD Thesis
  • Core PhD papers
  • Non-core first-author papers
  • Other papers
  • Books
  • Journal articles
  • Conference papers

2023

  • Martin Balla, George Long, Dominik Jeurissen, James Goodman, Raluca D. Gaina, Diego Perez Liebana, "PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games", in Proceedings of the IEEE Conference on Games (CoG 2023), 2023.

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  • Raluca D. Gaina, James Goodman, Yu-Jhen Hsu, Diego Perez-Liebana, "TAG: Structured Action Spaces for Tabletop Games", in IEEE Transactions on Games (submitted), 2023.

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2022

  • Raluca D. Gaina, Martin Balla, "TAG: Pandemic Competition", in Proceedings of the IEEE Conference on Games (CoG 2022), 2022.

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2021

  • Raluca D. Gaina, James Goodman, Diego Perez-Liebana, "TAG: Terraforming Mars", in Proceedings of the 17th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-21), 2021.

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  • Raluca D. Gaina, "Rolling Horizon Evolutionary Algorithms for General Video Game Playing", April, 2021.

     
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2020

  • Raluca D. Gaina, Sam Devlin, Diego Perez-Liebana, Simon M. Lucas, "Rolling Horizon Evolutionary Algorithms for General Video Game Playing", in arxiv:2003.12331, 2020.

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  • Raluca D. Gaina, Chiara F. Sironi, Mark H.M. Winands, Diego Perez-Liebana, Simon M. Lucas, "Self-Adaptive Rolling Horizon Evolutionary Algorithms for General Video Game Playing", in IEEE Conference on Games (CoG), 2020.

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  • Diego Perez-Liebana, Muhammad Sajid Alam, Raluca D. Gaina, "Rolling Horizon NEAT for General Video Game Playing", in IEEE Conference on Games (CoG), 2020.

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  • Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raul Montoliu, Diego Perez-Liebana, "TAG: A Tabletop Games Framework", in Experimental AI in Games (EXAG), AIIDE 2020 Workshop, 2020.

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  • Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raul Montoliu, Diego Perez-Liebana, "Design and Implemenation of TAG: A Tabletop Games Framework", in arxiv:2009.12065, 2020.

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  • Raul Montoliu, Raluca D. Gaina, Diego Perez-Liebana, Daniel Delgado, Simon M. Lucas, "Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game", in International Conference on the Applications of Evolutionary Computation (EvoStar), 12104, pp. 403-418, 2020.

     
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  • Diego Perez Liebana, Yu-Jhen Hsu, Stavros Emmanouilidis, Bobby Khaleque, Raluca Gaina, "Tribes: A New Turn-Based Strategy Game for AI", in Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-20), 2020.

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2019

  • Raluca D. Gaina, Simon M. Lucas, Diego Perez-Liebana, "Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods", in AAAI Conference on Artificial Intelligence (AAAI-19), 33, pp. 1691-1698, 2019.

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  • Raluca D. Gaina, Simon M. Lucas, Diego Perez-Liebana, "Project Thyia: A Forever Gameplayer", in IEEE Conference on Games (COG), pp. 1-8, 2019.

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  • Raluca D. Gaina, Matthew Stephenson, "'Did You Hear That?' Learning to Play Video Games from Audio Cues", in IEEE Conference on Games (COG), pp. 1-4, 2019.

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  • Diego Perez-Liebana, Jialin Liu, Ahmed Khalifa, Raluca D. Gaina, Julian Togelius, Simon M. Lucas, "General Video Game AI: a Multi-Track Framework for Evaluating Agents Games and Content Generation Algorithms", in IEEE Transactions on Games, 11, pp. 195-214, Sep, 2019.

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  • Olve Drageset, Raluca D. Gaina, Diego Perez-Liebana, Mark H.M. Winands, "Optimising Level Generators for General Video Game AI", in IEEE Conference on Games (COG), pp. 1-8, 2019.

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  • Alexander Dockhorn, Simon M Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez-Liebana, "Learning Local Forward Models on Unforgiving Games", in IEEE Conference on Games (COG), pp. 1-4, 2019.

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  • Simon M Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Perez-Liebana, Sanaz Mostaghim, Rudolf Kruse, "A Local Approach to Forward Model Learning: Results on the Game of Life Game", in IEEE Conference on Games (COG), pp. 1-8, 2019.

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  • Simon M Lucas, Jialin Liu, Ivan Bravi, Raluca D. Gaina, John Woodward, Vanessa Volz, Diego Perez-Liebana, "Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best", in Game Simulations Workshop (AAAI), 2019.

       
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  • Diego Perez-Liebana, Simon M. Lucas, Raluca D. Gaina, Julian Togelius, Ahmed Khalifa, Jialin Liu, "General Video Game Artificial Intelligence", 2019.

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  • Diego Perez-Liebana, Raluca D. Gaina, Olve Drageset, Ercument Ilhan, Martin Balla, Simon M. Lucas, "Analysis of Statistical Forward Planning Methods in Pommerman", in Proceedings of the Artificial intelligence and Interactive Digital Entertainment (AIIDE), 15, pp. 66-72, 2019.

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2018

  • Raluca D. Gaina, Simon M. Lucas, Diego Perez-Liebana, "VERTIGO: Visualisation of Rolling Horizon Evolutionary Algorithms in GVGAI", in The 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 265-267, 2018.

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  • Gaina, Raluca D., Couetoux, Adrien, Soemers, Dennis J.N.J., Winands, Mark H.M., Vodopivec, Tom, Kirchgessner, Florian, Liu, Jialin, Lucas, Simon M., Perez-Liebana, Diego, "The 2016 Two-Player GVGAI Competition", in IEEE Transactions on Games, 10, pp. 209-220, June, 2018.

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  • Raluca D. Gaina, Simon M. Lucas, Diego Perez-Liebana, "General Win Prediction from Agent Experience", in Proc. of the IEEE Conference on Computational Intelligence and Games (CIG), pp. 1-8, Aug, 2018.

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  • Chiara F. Sironi, Jialin Liu, Diego Perez-Liebana, Raluca D. Gaina, Ivan Bravi, Simon M. Lucas, Mark H. M. Winands, "Self-adaptive MCTS for General Video Game Playing", in Applications of Evolutionary Computation, pp. 358-375, 2018.

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  • Perez-Liebana, Diego, Hofmann, Katja, Mohanty, Sharada Prasanna, Kuno, Noburu, Kramer, Andre, Devlin, Sam, Gaina, Raluca D, Ionita, Daniel, "The Multi-Agent Reinforcement Learning in MalmO (MARLO) Competition", in Challenges in Machine Learning (CiML; NIPS Workshop), pp. 1-4, 2018.

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2017

  • Raluca D. Gaina, Jialin Liu, Simon M. Lucas, Diego Perez Liebana, "Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing", in Springer Lecture Notes in Computer Science, Applications of Evolutionary Computation, EvoApplications, 10199, pp. 418-434, 2017.

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  • Raluca D. Gaina, Simon M. Lucas, Diego Perez Liebana, "Rolling Horizon Evolution Enhancements in General Video Game Playing", in Proceedings of IEEE Conference on Computational Intelligence and Games, pp. 88-95, Aug, 2017.

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  • Raluca D. Gaina, Simon M. Lucas, Diego Perez Liebana, "Population Seeding Techniques for Rolling Horizon Evolution in General Video Game Playing", in Proceedings of the Congress on Evolutionary Computation, pp. 1956-1963, June, 2017.

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  • Diego Perez Liebana, Matthew Stephenson, Raluca D. Gaina, Jochen Renz, Simon M. Lucas, "Introducing Real World Physics and Macro-Actions to General Video Game AI", in Proceedings of IEEE Conference on Computational Intelligence and Games, pp. 248-255, Aug, 2017.

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  • Raluca D. Gaina, Rokas Volkovas, Carlos Gonzalez Diaz, Rory Davidson, "Automatic Game Tuning for Strategic Diversity", in 2017 9th Computer Science and Electronic Engineering (CEEC), pp. 195-200, Sept, 2017.

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  • Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu, Simon M. Lucas, Diego Perez Liebana, "The N-Tuple Bandit Evolutionary Algorithm for Game Improvement", in Proc. of the IEEE Congress on Evolutionary Computation (CEC), pp. 2201-2208, June, 2017.

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2016

  • Raluca D. Gaina, Diego Perez-Liebana, Simon M. Lucas, "General Video Game for 2 Players: Framework and Competition", in Proceedings of the IEEE Computer Science and Electronic Engineering Conference (CEEC), pp. 186-191, 2016.

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