activity
20192022
most citedRe-determinizing Information Set Monte Carlo Tree Search in Hanabi

10 citations · 19 across the 4 of their papers we have counts for

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6 papers · 1 filter

cs.AI20224 cited

Visualising Multiplayer Game Spaces

James Goodman, Diego Perez-Liebana, Simon Lucas

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…

cs.AI20205 cited

AI and Wargaming

James Goodman, Sebastian Risi, Simon Lucas

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 p…

cs.AI2020

Does it matter how well I know what you're thinking? Opponent Modelling in an RTS game

James Goodman, Simon Lucas

Opponent Modelling tries to predict the future actions of opponents, and is required to perform well in multi-player games. There is a deep literature on learning an opponent model…

cs.AI2020

Metagame Autobalancing for Competitive Multiplayer Games

Daniel Hernandez, Charles Takashi Toyin Gbadamosi, James Goodman +1

Automated game balancing has often focused on single-agent scenarios. In this paper we present a tool for balancing multi-player games during game design. Our approach requires a d…

cs.AI2020

Weighting NTBEA for Game AI Optimisation

James Goodman, Simon Lucas

The N-Tuple Bandit Evolutionary Algorithm (NTBEA) has proven very effective in optimising algorithm parameters in Game AI. A potential weakness is the use of a simple average of al…

cs.AI201910 cited

Re-determinizing Information Set Monte Carlo Tree Search in Hanabi

James Goodman

This technical report documents the winner of the Computational Intelligence in Games(CIG) 2018 Hanabi competition. We introduce Re-determinizing IS-MCTS, a novel extension of Info…