In many real-world scenarios, agents are involved in optimization proble...
Synthetic time series are often used in practical applications to augmen...
In cooperative Multi-Agent Planning (MAP), a set of goals has to be achi...
Reinforcement Learning (RL) algorithms are known to scale poorly to
envi...
In competitive environments, commonly agents try to prevent opponents fr...
Call centers, in which human operators attend clients using textual chat...
Financial institutions mostly deal with people. Therefore, characterizin...
Goal recognition aims at predicting human intentions from a trace of
obs...
Many business applications involve adversarial relationships in which bo...
Generalized planning is about finding plans that solve collections of
pl...
Weighted A* (wA*) is a widely used algorithm for rapidly, but suboptimal...
Current evaluation functions for heuristic planning are expensive to com...