Browsing School of Electronic Engineering and Computer Science by Author "Jeurissen, D"
Now showing items 1-7 of 7
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Automatic Goal Discovery in Subgoal Monte Carlo Tree Search
Jeurissen, D; Winands, MHM; Sironi, CF; Perez-Liebana, D (2021) -
Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing
Xu, L; Hurtado-Grueso, J; Jeurissen, D; Liebana, DP; Dockhorn, A (2022-01-01)Strategy video games challenge AI agents with their combinatorial search space caused by complex game elements. State abstraction is a popular technique that reduces the state space complexity. However, current state ... -
Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing
Dockhorn, A; Hurtado-Grueso, J; Jeurissen, D; Xu, L; Perez-Liebana, D (2021) -
Generating Diverse and Competitive Play-Styles for Strategy Games
Perez-Liebana, D; Guerrero-Romero, C; Dockhorn, A; Xu, L; Hurtado, J; Jeurissen, D (2021) -
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games
Balla, M; Long, GEM; Jeurissen, D; Goodman, J; Gaina, RD; Perez-Liebana, D (2023-07-19) -
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games
Balla, M; Long, GEM; Jeurissen, D; Goodman, J; Gaina, RD; Perez-Liebana, D (2023-01-01)In recent years, Game AI research has made important breakthroughs using Reinforcement Learning (RL). Despite this, RL for modern tabletop games has gained little to no attention, even when they offer a range of unique ... -
Stratega - A General Strategy Games Framework
Perez-Liebana, D; Dockhorn, A; Jeurissen, D; Hurtado, J; AIIDE-20 Workshop on Artificial Intelligence for Strategy Games (2020)