One of the key issues in designing appropriate and effective learning environments is understanding how learners advance and what factors contribute to their progress. This holds...
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
To ful ll the needs of its deep space exploration program, NASAis actively supporting research and development in autonomy software. However, the reliable and cost-e ective develop...
Abstract. Virtual characters in games operate in a social context involving other characters and human players. If such socially situated virtual characters are to be considered be...
Michal P. Sindlar, Mehdi Dastani, Frank Dignum, Jo...
In a team-based multiagent system, the ability to construct a model of an opponent team's joint behavior can be useful for determining an agent's expected distribution o...