Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...
Hierarchical approach greatly facilitates large-scale chip design by hiding distracting details in low-level objects. However, the lowlevel designs have to have a global view of h...
An original approach, termed Divide-and-Evolve is proposed to hybridize Evolutionary Algorithms (EAs) with Operational Research (OR) methods in the domain of Temporal Planning Prob...
One of the most challenging issues in today's high-performance VLSI design is to ensure high-quality power supply to each individual circuit blocks. Reduced power supply volt...
We study how to find plans that maximize the expected total utility for a given MDP, a planning objective that is important for decision making in high-stakes domains. The optimal...