Many real-world applications require artificial agents to compete and coordinate with other
agents in complex environments. As a step** stone to this goal, the domain of StarCraft …

In general, games pose interesting and complex problems for the implementation of
intelligent agents and are a popular domain in the study of artificial intelligence. In fact …

In recent years, researchers have achieved great success in applying Deep Reinforcement
Learning (DRL) algorithms to Real-time Strategy (RTS) games, creating strong autonomous …

Games with large branching factors pose a significant challenge for game tree search
algorithms. In this paper, we address this problem with a sampling strategy for Monte Carlo …

Reinforcement learning and games have a long and mutually beneficial common history.
From one side, games are rich and challenging domains for testing reinforcement learning …

Liste der Autoren Page 1 Liste der Autoren Clemens Beckstein Gerhard Brewka Christian
Borgelt Wolfram Burgard Hans-Dieter Burkhard Stephan Busemann Thomas Christaller Leonie …

What makes some experiences more memorable than others? How can you better
remember specific information later? Memories That Matter addresses these questions and …

With modern video games frequently featuring sophisticated and realistic environments, the
need for smart and comprehensive agents that understand the various aspects of complex …

The aim of this paper is to introduce the use of Tower Defence (TD) games in Computational
Intelligence (CI) research. We show how TD games can provide an important test-bed for the …

StarCraft II is one of the most popular real-time strategy games and has become an
important benchmark for AI research as it provides a complex environment with numerous …