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Found 9 papers, 2 papers with code
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games
To bridge this gap, we introduce PyTAG, a Python API for interacting with the Tabletop Games framework (TAG).
Visualising Multiplayer Game Spaces
We compare four different `game-spaces' in terms of their usefulness in characterising multi-player tabletop games, with a particular interest in any underlying change to a game's characteristics as the number of players changes.
AI and Wargaming
Recent progress in Game AI has demonstrated that given enough data from human gameplay, or experience gained via simulations, machines can rival or surpass the most skilled human players in classic games such as Go, or commercial computer games such as Starcraft.
Does it matter how well I know what you're thinking? Opponent Modelling in an RTS game
We show that faced with an unknown opponent and a low computational budget it is better not to use any explicit model with RHEA, and to model the opponent's actions within the tree as part of the MCTS algorithm.
Metagame Autobalancing for Competitive Multiplayer Games
Automated game balancing has often focused on single-agent scenarios.
Weighting NTBEA for Game AI Optimisation
The N-Tuple Bandit Evolutionary Algorithm (NTBEA) has proven very effective in optimising algorithm parameters in Game AI.
Re-determinizing Information Set Monte Carlo Tree Search in Hanabi
This technical report documents the winner of the Computational Intelligence in Games(CIG) 2018 Hanabi competition.
