Temporal plans permit significant flexibility in specifying the occurrence time of events. Plan execution can make good use of that flexibility. However, the advantage of executio...
Ioannis Tsamardinos, Nicola Muscettola, Paul H. Mo...
One difficulty with existing theoretical work on HTN planning is that it does not address some of the planning constructs that are commonly used in HTN planners for practical appl...
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
For mobile robots to assist people in everyday life, they must be easy to instruct. This paper describes a gesture-based interface for human robot interaction, which enables peopl...
Stefan Waldherr, Sebastian Thrun, Roseli Romero, D...
Production planning is an important task in manufacturing systems. We consider a real-world capacitated lot-sizing problem (CLSP) from the process industry. Because the problem re...
Joachim P. Walser, Ramesh Iyer, Narayan Venkatasub...