— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
In this paper we present mental state abduction, a technique for inferring the mental states (beliefs, goals) of BDI-based agents from observations of their actions. Abduced mental...
Michal P. Sindlar, Mehdi Dastani, Frank Dignum, Jo...
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
In reinforcement learning (RL), the duality between exploitation and exploration has long been an important issue. This paper presents a new method that controls the balance betwe...
In this paper we are concerned with the problem of learning how to solve planning problems in one domain given a number of solved instances. This problem is formulated as the probl...