Search algorithms for two-players stochastic games

The objective of this project is to study search algorithms in the context of two-players stochastic games. Recent studies on two-players deterministic games have shown that progress in reinforcement learning has significantly reshaped the state of the art in that field. The aim is to conduct a similar study for stochastic games, in order to assess whether these advances also impact the current literature in the stochastic setting. Furthermore, the project seeks to determine whether the search algorithm of the recently generalized framework named Athénan, which outperforms existing methods in deterministic games, can also surpass the state of the art in stochastic games.