9 citations · 14 across the 3 of their papers we have counts for
3 papers
Adversarial Imitation Learning On Aggregated Data
Pierre Le Pelletier de Woillemont, Rémi Labory, Vincent Corruble
Inverse Reinforcement Learning (IRL) learns an optimal policy, given some expert demonstrations, thus avoiding the need for the tedious process of specifying a suitable reward func…
Automated Play-Testing Through RL Based Human-Like Play-Styles Generation
Pierre Le Pelletier de Woillemont, Rémi Labory, Vincent Corruble
The increasing complexity of gameplay mechanisms in modern video games is leading to the emergence of a wider range of ways to play games. The variety of possible play-styles needs…
Configurable Agent With Reward As Input: A Play-Style Continuum Generation
Pierre Le Pelletier de Woillemont, Rémi Labory, Vincent Corruble
Modern video games are becoming richer and more complex in terms of game mechanics. This complexity allows for the emergence of a wide variety of ways to play the game across the p…