Estimation of value in policy gradient methods is a fundamental problem....
PPO (Proximal Policy Optimization) is a state-of-the-art policy gradient...
We compare four different `game-spaces' in terms of their usefulness in
...
The use of Artificial Intelligence (AI) for play-testing is still on the...
In recent years, there have been immense breakthroughs in Game AI resear...
Recent progress in Game AI has demonstrated that given enough data from ...
Opponent Modelling tries to predict the future actions of opponents, and...
In the realm of games research, Artificial General Intelligence algorith...
Generative Adversarial Networks (GANs) are an emerging form of indirect
...
Access to a fast and easily copied forward model of a game is essential ...
Access to a fast and easily copied forward model of a game is essential ...
The N-Tuple Bandit Evolutionary Algorithm (NTBEA) has proven very effect...
There are few digital tools to help designers create game mechanics. A
g...
Game-based benchmarks have been playing an essential role in the develop...
The General Video Game AI competitions have been the testing ground for
...