Tom Pepels (T.H.J.)

Key publicaties

• Pepels, T., & Winands, M. H. M. (2024). Ancestor-Based α-β Bounds for Monte-Carlo Tree Search. In 2024 IEEE Conference on Games (CoG) (pp. 1-4). IEEE. https://doi.org/10.1109/CoG60054.2024.10645672

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• Pepels, T., Winands, M. H. M., & Lanctot, M. (2014). Real-Time Monte Carlo Tree Search in Ms Pac-Man. IEEE Transactions on Computational Intelligence and AI in Games, 6(3), 245-257. https://doi.org/10.1109/TCIAIG.2013.2291577

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• Pepels, T., Tak, M. J. W., Lanctot, M., & Winands, M. H. M. (2014). Quality-based Rewards for Monte-Carlo Tree Search Simulations. In Proceedings of the Twenty-first European Conference on Artificial Intelligence (pp. 705-710). IOS Press. https://doi.org/10.3233/978-1-61499-419-0-705

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• Lanctot, M., Winands, M. H. M., Pepels, T., & Sturtevant, N. R. (2014). Monte carlo tree search with heuristic evaluations using implicit minimax backups. In IEEE Conference on Computatonal Intelligence and Games, CIG (pp. 341-348). IEEE Computer Society. https://doi.org/10.1109/CIG.2014.6932903

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Recente publicaties

• Pepels, T. H. J. (2025). Monte-Carlo tree search is work in progress. [Doctoral Thesis, Maastricht University]. https://doi.org/10.26481/dis.20250604tp

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• Pepels, T., & Winands, M. H. M. (2024). Ancestor-Based α-β Bounds for Monte-Carlo Tree Search. In 2024 IEEE Conference on Games (CoG) (pp. 1-4). IEEE. https://doi.org/10.1109/CoG60054.2024.10645672

  Meer informative over deze publicatie
• Pepels, T., Cazenave, T., & Winands, M. H. M. (2016). Sequential halving for partially observable games. In Computer Games (pp. 16-29). Springer. https://doi.org/10.1007/978-3-319-39402-2_2

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• Lanctot, M., Winands, M. H. M., Pepels, T., & Sturtevant, N. R. (2014). Monte carlo tree search with heuristic evaluations using implicit minimax backups. In IEEE Conference on Computatonal Intelligence and Games, CIG (pp. 341-348). IEEE Computer Society. https://doi.org/10.1109/CIG.2014.6932903

  Meer informative over deze publicatie
• Pepels, T., Winands, M. H. M., & Lanctot, M. (2014). Real-Time Monte Carlo Tree Search in Ms Pac-Man. IEEE Transactions on Computational Intelligence and AI in Games, 6(3), 245-257. https://doi.org/10.1109/TCIAIG.2013.2291577

  Meer informative over deze publicatie
• Pepels, T., Cazenave, T., Winands, M. H. M., & Lanctot, M. (2014). Minimizing Simple and Cumulative Regret in Monte-Carlo Tree Search. In Computer Games: Third Workshop on Computer Games, CGW 2014, Held in Conjunction with the 21st European Conference on Artificial Intelligence, ECAI 2014, Prague, Czech Republic, August 18, 2014, Revised Selected Papers (pp. 1-15). Springer. https://doi.org/10.1007/978-3-319-14923-3_1

  Meer informative over deze publicatie
• Pepels, T., Tak, M. J. W., Lanctot, M., & Winands, M. H. M. (2014). Quality-based Rewards for Monte-Carlo Tree Search Simulations. In Proceedings of the Twenty-first European Conference on Artificial Intelligence (pp. 705-710). IOS Press. https://doi.org/10.3233/978-1-61499-419-0-705

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• Pepels, T. (2012). REPORT ON THE CIG'12 MS PAC-MAN VS GHOSTS COMPETITION 2012 IEEE Conference on Computational Intelligence in Games (CIG'12) Granada, Spain 11-14 September, 2012. ICGA Journal, 35(4), 239-240. https://doi.org/10.3233/ICG-2012-35412

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• Pepels, T., & Winands, M. H. M. (2012). Enhancements for Monte-Carlo Tree Search in Ms Pac-Man. In 2012 IEEE Conference on Computational Intelligence and Games, CIG 2012 (pp. 265-272) https://doi.org/10.1109/CIG.2012.6374165

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Ga naar alle publicaties

https://www.researchgate.net/profile/Tom-Pepels