Liangrong Yi

Learn More
This paper introduces decision-theoretic planning techniques into automatic music generation. Markov decision processes (MDPs) are a mathematical model of planning under uncertainty, and factored MDPs demonstrate great advantages in an environment where the state space is large. Given a melody, we use a factored MDP planner to fill in the other three(More)
We are interested in building decision-support software for social welfare case managers. Our model in the form of a factored Markov decision process is so complex that a standard factored MDP solver was unable to solve it efficiently. We discuss factors contributing to the complexity of the model, then present a receding horizon planner that offers a rough(More)
  • 1