34 citations · 94 across the 29 of their papers we have counts for
9 papers · 2 filters
Griddly: A platform for AI research in games
Chris Bamford, Shengyi Huang, Simon Lucas
In recent years, there have been immense breakthroughs in Game AI research, particularly with Reinforcement Learning (RL). Despite their success, the underlying games are usually i…
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…
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…
Rinascimento: using event-value functions for playing Splendor
Ivan Bravi, Simon Lucas
In the realm of games research, Artificial General Intelligence algorithms often use score as main reward signal for learning or playing actions. However this has shown its severe…
Evaluating Generalisation in General Video Game Playing
Martin Balla, Simon M. Lucas, Diego Perez-Liebana
The General Video Game Artificial Intelligence (GVGAI) competition has been running for several years with various tracks. This paper focuses on the challenge of the GVGAI learning…
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…
Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition
Zhentao Tang, Yuanheng Zhu, Dongbin Zhao +1
The Fighting Game AI Competition (FTGAIC) provides a challenging benchmark for 2-player video game AI. The challenge arises from the large action space, diverse styles of character…
Neural Game Engine: Accurate learning of generalizable forward models from pixels
Chris Bamford, Simon Lucas
Access to a fast and easily copied forward model of a game is essential for model-based reinforcement learning and for algorithms such as Monte Carlo tree search, and is also benef…
Rolling Horizon Evolutionary Algorithms for General Video Game Playing
Raluca D. Gaina, Sam Devlin, Simon M. Lucas +1
Game-playing Evolutionary Algorithms, specifically Rolling Horizon Evolutionary Algorithms, have recently managed to beat the state of the art in win rate across many video games.…