Reinforcement learning has been widely successful in producing agents ca...
Going from research to production, especially for large and complex soft...
This short paper presents an efficient path following solution for groun...
In games, as in and many other domains, design validation and testing is...
Focusing on Random Forests, we propose a multi-armed contextual bandit
r...
This paper proposes a novel deep reinforcement learning algorithm to per...
In this article we study the problem of training intelligent agents usin...
Recent advances in Deep Reinforcement Learning (DRL) have largely focuse...
Deep Reinforcement Learning achieves very good results in domains where
...
In this paper we introduce DeepCrawl, a fully-playable Roguelike prototy...