We study complexity of the model-checking problems for LTL with registers (also known as freeze LTL and written LTL ) and for first-order logic with data equality tests (written F...
Much research has been done on techniques to teach students how to program. However, it is usually difficult to quantify exactly how students work. Instructors typically only see ...
Intelligent Tutoring Systems, while effective at producing student learning [2,7], are notoriously costly to construct [1,9], and require PhD level experience in cognitive science...
Neil T. Heffernan, Terrence E. Turner, Abraao L. N...
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
We present a new algorithm for conformant probabilistic planning, which for a given horizon produces a plan that maximizes the probability of success under quantified uncertainty ...