19 citations · 36 across the 12 of their papers we have counts for
6 papers · 1 filter
A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective
Ronaldo e Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz
Collectible card games are challenging, widely played games that have received increasing attention from the AI research community in recent years. Despite important breakthroughs,…
On the impact of MDP design for Reinforcement Learning agents in Resource Management
Renato Luiz de Freitas Cunha, Luiz Chaimowicz
The recent progress in Reinforcement Learning applications to Resource Management presents MDPs without a deeper analysis of the impacts of design decisions on agent performance. I…
A Tutor Agent for MOBA Games
Victor do Nascimento Silva, Luiz Chaimowicz
Digital games have become a key player in the entertainment industry, attracting millions of new players each year. In spite of that, novice players may have a hard time when playi…
Dynamic Difficulty Adjustment on MOBA Games
Mirna Paula Silva, Victor do Nascimento Silva, Luiz Chaimowicz
This paper addresses the dynamic difficulty adjustment on MOBA games as a way to improve the player's entertainment. Although MOBA is currently one of the most played genres around…
On the Development of Intelligent Agents for MOBA Games
Victor do Nascimento Silva, Luiz Chaimowicz
Multiplayer Online Battle Arena (MOBA) is one of the most played game genres nowadays. With the increasing growth of this genre, it becomes necessary to develop effective intellige…
MOBA: a New Arena for Game AI
Victor do Nascimento Silva, Luiz Chaimowicz
Games have always been popular testbeds for Artificial Intelligence (AI). In the last decade, we have seen the rise of the Multiple Online Battle Arena (MOBA) games, which are the…